Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing thermal modeling. In one aspect, a method includes receiving monitoring data comprising temperature data measured inside a site, mode data, and state data, receiving weather data descriptive of weather at the site, and aligning the received temperature data, mode data, and state data with the received weather data. The method also includes determining an internal heat gain representing an amount of heat generated at the site irrespective of the heating or cooling system, determining at least one of a thermal product for the site or a thermal potential for the heating or cooling system, generating, based on the internal gain and the thermal product or the thermal potential, a thermal model for the site, and providing, as output, the generated thermal model.
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
G05B 17/02 - Systems involving the use of models or simulators of said systems electric
F24F 11/46 - Improving electric energy efficiency or saving
F24F 11/52 - Indication arrangements, e.g. displays
F24F 11/58 - Remote control using Internet communication
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing load reduction optimization. In one aspect, a method includes accessing load reduction parameters for a load reduction event, accessing energy consumption models for multiple systems involved in the load reduction event, and performing, based on the load reduction parameters and the energy consumption models, a plurality of simulations of load reduction events that simulate variations in control parameters used to control the multiple systems. The method also includes optimizing, against a load reduction curve, the load reduction event by iteratively modifying the control parameters used in the plurality of simulations of load reduction events, and outputting the optimal load reduction event with optimized control parameters.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
F24F 11/46 - Improving electric energy efficiency or saving
F24F 11/58 - Remote control using Internet communication
F24F 11/64 - Electronic processing using pre-stored data
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing load reduction optimization. In one aspect, a method includes accessing load reduction parameters for a load reduction event, accessing energy consumption models for multiple systems involved in the load reduction event, and performing, based on the load reduction parameters and the energy consumption models, a plurality of simulations of load reduction events that simulate variations in control parameters used to control the multiple systems. The method also includes optimizing, against a load reduction curve, the load reduction event by iteratively modifying the control parameters used in the plurality of simulations of load reduction events, and outputting the optimal load reduction event with optimized control parameters.
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
F24F 11/64 - Electronic processing using pre-stored data
F24F 11/58 - Remote control using Internet communication
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a thermostat-based demand response event. In one aspect, a method includes accessing, for sites, historical readings of HVAC activity, indoor temperature, and outdoor temperature and building a model for each of the sites using the historical readings of HVAC activity, indoor temperature, and outdoor temperature. The method also includes using a simulation engine to achieve a target load shed and load reduction shape for a thermostat-based demand response event, and performing the thermostat-based demand response event based on results of the simulation engine.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing thermal modeling. In one aspect, a method includes receiving monitoring data comprising temperature data measured inside a site, mode data, and state data, receiving weather data descriptive of weather at the site, and aligning the received temperature data, mode data, and state data with the received weather data. The method also includes determining an internal heat gain representing an amount of heat generated at the site irrespective of the heating or cooling system, determining at least one of a thermal product for the site or a thermal potential for the heating or cooling system, generating, based on the internal gain and the thermal product or the thermal potential, a thermal model for the site, and providing, as output, the generated thermal model.
G06F 119/08 - Thermal analysis or thermal optimisation
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
G05B 17/02 - Systems involving the use of models or simulators of said systems electric
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
Techniques for energy management including enrollment using verification technology. In some implementations, a computing device receives applicant data to execute an enrollment application for an applicant applying for a particular energy management program. The computing device receives grid operator data from a grid operator to verify against the applicant data. The computing device determines whether the applicant data verifies to the grid operator data. The computing device generates an enrollment recommendation that corresponds to the applicant for the particular energy management program in response to determining whether the applicant data verifies to the grid operator data. The computing device provides the enrollment recommendation to a grid operator for review of whether to accept or reject the applicant to the particular energy management program.
F24F 11/46 - Improving electric energy efficiency or saving
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing load reduction optimization. In one aspect, a method includes accessing load reduction parameters for a load reduction event, accessing energy consumption models for multiple systems involved in the load reduction event, and performing, based on the load reduction parameters and the energy consumption models, a plurality of simulations of load reduction events that simulate variations in control parameters used to control the multiple systems. The method also includes optimizing, against a load reduction curve, the load reduction event by iteratively modifying the control parameters used in the plurality of simulations of load reduction events, and outputting the optimal load reduction event with optimized control parameters.
G05B 21/00 - Systems involving sampling of the variable controlled
G01M 1/38 - Combined machines or devices for both determining and correcting unbalance
G05B 13/00 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
F24F 11/58 - Remote control using Internet communication
Techniques for energy management including enrollment using verification technology. In some implementations, a computing device receives applicant data to execute an enrollment application for an applicant applying for a particular energy management program. The computing device receives grid operator data from a grid operator to verify against the applicant data. The computing device determines whether the applicant data verifies to the grid operator data. The computing device generates an enrollment recommendation that corresponds to the applicant for the particular energy management program in response to determining whether the applicant data verifies to the grid operator data. The computing device provides the enrollment recommendation to a grid operator for review of whether to accept or reject the applicant to the particular energy management program.
F24F 11/46 - Improving electric energy efficiency or saving
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
Energy management services, namely, providing transmission of electronic data and command transmission in the nature of transmitting electronic command signals for communication between energy management equipment; energy management services, namely, providing transmission of electronic data and command transmission in the nature of transmitting electronic command signals for communication between utility companies and thermostats obtained by end-users for free, by lease or by purchase; energy management services, namely, providing transmission of electronic data and command transmission in the nature of transmitting electrotonic command signals for communication between utility companies and energy management equipment obtained by end-users for free, by lease or by purchase Providing electronic, online and paper marketing materials for utility companies, namely, developing the advertising content of electronic, online, and paper marketing materials and disseminating this marketing material for utility and energy companies; providing marketing services for utility and energy companies by promoting energy management programs to their eligible customers; enrolling eligible customers in energy management programs of others; business data compilation services in the nature of tracking customer enrollment status in energy management programs of others; Providing incentive awards programs for customers of utility and energy companies to promote enrollment and membership in energy management programs of others; paying incentives to customers for enrollment and participation in energy management programs and services, namely, providing incentive award programs for customers for enrollment and participation in energy management programs through the distribution of prepaid stored value cards for the purpose of promoting and rewarding loyalty and paying enrollment and performance-based incentives to customers in energy management programs
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing an electrical grid by controlling devices connected to the electrical grid. In one aspect, a method comprises: autonomously determining whether a control strategy update criterion is satisfied, and in response to determining that the control strategy update criterion is satisfied: identifying: (i) a plurality of devices connected to the electrical grid, and (ii) one or more objectives to be satisfied by the plurality of devices; generating, for the plurality of devices and for a plurality of controls, simulated data that simulates operation of the plurality of devices based on application of the plurality of controls; and identifying, by an optimization procedure and based on at least the simulated data, a respective control to be applied to each of the plurality of devices to satisfy the objectives.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing an electrical grid by controlling devices connected to the electrical grid. In one aspect, a method comprises: autonomously determining whether a control strategy update criterion is satisfied, and in response to determining that the control strategy update criterion is satisfied: identifying: (i) a plurality of devices connected to the electrical grid, and (ii) one or more objectives to be satisfied by the plurality of devices; generating, for the plurality of devices and for a plurality of controls, simulated data that simulates operation of the plurality of devices based on application of the plurality of controls; and identifying, by an optimization procedure and based on at least the simulated data, a respective control to be applied to each of the plurality of devices to satisfy the objectives.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for managing an electrical grid by controlling devices connected to the electrical grid. In one aspect, a method comprises: autonomously determining whether a control strategy update criterion is satisfied, and in response to determining that the control strategy update criterion is satisfied: identifying: (i) a plurality of devices connected to the electrical grid, and (ii) one or more objectives to be satisfied by the plurality of devices; generating, for the plurality of devices and for a plurality of controls, simulated data that simulates operation of the plurality of devices based on application of the plurality of controls; and identifying, by an optimization procedure and based on at least the simulated data, a respective control to be applied to each of the plurality of devices to satisfy the objectives.
H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining controls to be applied to a population of devices. In one aspect, a method comprises: determining a plurality of simulated load curves, wherein each simulated load curve simulates load generated by a respective device from a population of devices based on application of a respective control from a set of controls; adjusting values of a plurality of weights during a plurality of optimization iterations using an optimization technique to optimize a loss function, wherein each weight corresponds to a respective simulated load curve, wherein the loss function measures: a sparsity of the values of the plurality of weights, and an error between: (i) an aggregate load curve that is defined by combining the simulated load curves in accordance with the values of the plurality of weights, and (ii) a target load curve.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load forecast by predicting load measurements at future time points, wherein a load measurement at a time point characterizes a cumulative measure of energy consumption by a population of energy consuming devices at the time point. In one aspect, a method comprises: generating an input load array that includes a respective load value for each of a plurality of time points, wherein: for a plurality of previous time points, the input load array includes load values for the previous time points that define load measurements at the previous time points; and for a plurality of future time points, the input load array includes load values for the future time points that are masked values; and processing the input load array using a load forecasting model to unmask the masked values corresponding to the future time points, comprising generating an output that defines, for the plurality of future time points, predicted load measurements at the future time points.
G06N 3/04 - Architecture, e.g. interconnection topology
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
G01R 22/10 - Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods using digital techniques
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load adjustment simulation and a capacity forecast. In one aspect, a method comprises: generating, using a simulation system, a load adjustment simulation that characterizes predicted energy consumption by a population of energy consuming devices based on performance of a current load adjustment event; generating, using the simulation system, a baseline load simulation that characterizes predicted energy consumption by the population of energy consuming devices based on non-performance of the current load adjustment event; determining, using the baseline load simulation, a load adjustment simulation error that is an estimate of an error between: (i) the load adjustment simulation, and (ii) actual energy consumption by the population of energy consuming devices based on performance of the current load adjustment event; and updating the load adjustment simulation using the load adjustment simulation error.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load adjustment simulation and a capacity forecast. In one aspect, a method comprises: generating, using a simulation system, a load adjustment simulation that characterizes predicted energy consumption by a population of energy consuming devices based on performance of a current load adjustment event; generating, using the simulation system, a baseline load simulation that characterizes predicted energy consumption by the population of energy consuming devices based on non-performance of the current load adjustment event; determining, using the baseline load simulation, a load adjustment simulation error that is an estimate of an error between: (i) the load adjustment simulation, and (ii) actual energy consumption by the population of energy consuming devices based on performance of the current load adjustment event; and updating the load adjustment simulation using the load adjustment simulation error.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a load adjustment simulation and a capacity forecast. In one aspect, a method comprises: generating, using a simulation system, a load adjustment simulation that characterizes predicted energy consumption by a population of energy consuming devices based on performance of a current load adjustment event; generating, using the simulation system, a baseline load simulation that characterizes predicted energy consumption by the population of energy consuming devices based on non-performance of the current load adjustment event; determining, using the baseline load simulation, a load adjustment simulation error that is an estimate of an error between: (i) the load adjustment simulation, and (ii) actual energy consumption by the population of energy consuming devices based on performance of the current load adjustment event; and updating the load adjustment simulation using the load adjustment simulation error.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a thermostat-based demand response event. In one aspect, a method includes accessing, for sites, historical readings of HVAC activity, indoor temperature, and outdoor temperature and building a model for each of the sites using the historical readings of HVAC activity, indoor temperature, and outdoor temperature. The method also includes using a simulation engine to achieve a target load shed and load reduction shape for a thermostat-based demand response event, and performing the thermostat-based demand response event based on results of the simulation engine.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing load reduction optimization. In one aspect, a method includes accessing load reduction parameters for a load reduction event, accessing energy consumption models for multiple systems involved in the load reduction event, and performing, based on the load reduction parameters and the energy consumption models, a plurality of simulations of load reduction events that simulate variations in control parameters used to control the multiple systems. The method also includes optimizing, against a load reduction curve, the load reduction event by iteratively modifying the control parameters used in the plurality of simulations of load reduction events, and outputting the optimal load reduction event with optimized control parameters.
G05B 21/00 - Systems involving sampling of the variable controlled
G01M 1/38 - Combined machines or devices for both determining and correcting unbalance
G05B 13/00 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
F24F 11/64 - Electronic processing using pre-stored data
F24F 11/58 - Remote control using Internet communication
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing thermal modeling. In one aspect, a method includes receiving monitoring data comprising temperature data measured inside a site, mode data, and state data, receiving weather data descriptive of weather at the site, and aligning the received temperature data, mode data, and state data with the received weather data. The method also includes determining an internal heat gain representing an amount of heat generated at the site irrespective of the heating or cooling system, determining at least one of a thermal product for the site or a thermal potential for the heating or cooling system, generating, based on the internal gain and the thermal product or the thermal potential, a thermal model for the site, and providing, as output, the generated thermal model.
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
G05B 17/02 - Systems involving the use of models or simulators of said systems electric
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software application for managing distributed energy resources; downloadable software application for implementing virtual batteries in electricity grids; downloadable software for controlling the operation of controllers that manage the energy use of devices that consume electricity, namely, electric water heaters, electric vehicle charging stations, home and building heating and cooling systems, pool pumps, batteries, solar photovoltaic inverters, agricultural fans, refrigeration systems, computing systems and electric lighting systems. Providing temporary use of non-downloadable cloud-based software for managing distributed energy resources; providing temporary use of non-downloadable cloud-based software for implementing a virtual batteries in electricity grids.
22.
Interfacing to resource consumption management devices
The subject disclosure provides a communications architecture for managing/relaying utility information, such as energy, water or gas information. In one aspect, the system includes a hub having a first communications interface for receiving consumption data of a predetermined energy load and a second communications interface for communicating with a metering device. The second communications interface is configured to transmit the consumption data to the metering device and to receive control signals from the metering device where the consumption data is communicated using a first protocol and wherein the control signals are communicated using a second protocol.
Feedback is provided to a user based on a setting for a set of energy consuming devices. While a user modifies a thermostat's schedule or provides user commands to adjust a setting for the set of energy consuming devices, a user interface component generates feedback to the consumer in response to an adjusted setting based on a condition for a predetermined function. A positive feedback component generates a positive feedback, such as a positive image in the user interface if the setting meets or exceeds a recommended performance metric for an operational parameter for the set of energy consuming devices. A negative feedback component generates a negative feedback, such as a negative image if the setting meets or exceeds a second condition, such as a discouraged performance metric.
G05B 15/02 - Systems controlled by a computer electric
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
24.
Demand response technology utilizing a simulation engine to perform thermostat-based demand response simulations
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing a thermostat-based demand response event. In one aspect, a method includes accessing, for sites, historical readings of HVAC activity, indoor temperature, and outdoor temperature and building a model for each of the sites using the historical readings of HVAC activity, indoor temperature, and outdoor temperature. The method also includes using a simulation engine to achieve a target load shed and load reduction shape for a thermostat-based demand response event, and performing the thermostat-based demand response event based on results of the simulation engine.
Enhancements to premises monitor or control device (e.g., thermostats, etc.) are detailed herein. For example, enhanced relating to simplification of scheduling, are described as well as other enhancements relating to reducing device costs or consumption costs, providing richer features or more robust feature sets, and/or delivering associated product or services with increased simplicity, convenience, or ease.
G05D 23/19 - Control of temperature characterised by the use of electric means
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary access to non-downloadable software for control of energy management equipment and thermostats; providing temporary use of non-downloadable software for analysis and management of electricity consumption by connected energy management devices
Resource providers that provide a resource (e.g., electricity) to customers often have programs that operate to save customers money or otherwise benefit the customers. Traditionally, customers enroll in these programs by assenting to enroll in combination with providing that customer's account number. For various reasons, requiring the customer to provide his or her account number dramatically reduces the number of customers that ultimately sign up for a program. Accordingly, customer's willing to sign up for programs offered by the resource provider can do so without the need to give a customer number. Rather, the necessary information can be determined based on an image of the customer's meter.
Feedback is provided to a user based on a setting for a set of energy consuming devices. While a user modifies a thermostat's schedule or provides user commands to adjust a setting for the set of energy consuming devices, a user interface component generates feedback to the consumer in response to an adjusted setting based on a condition for a predetermined function. A positive feedback component generates a positive feedback, such as a positive image in the user interface if the setting meets or exceeds a recommended performance metric for an operational parameter for the set of energy consuming devices. A negative feedback component generates a negative feedback, such as a negative image if the setting meets or exceeds a second condition, such as a discouraged performance metric.
F24F 11/30 - Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
F24F 11/62 - Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
Providing electronic, online and paper marketing materials to utility companies; providing marketing programs related to energy management to eligible customers; enrolling eligible customers in energy management programs of others; enrolling eligible customers in energy management programs; communicating status of enrollment in energy management programs of others to customers; communicating status of enrollment in energy management programs to customers; paying incentives to customers for enrollment and membership in energy management programs and services of others; paying incentives to customers for enrollment and membership in energy management programs and services energy management services, namely, providing electronic data and command transmission services for coordination of and communication between energy management equipment; energy management services, namely, providing electronic data and command transmission services for coordination of and communication between utility company-owned, -operated, or -licensed equipment and thermostats obtained by end-users for free, by lease or by purchase; energy management services, namely, providing electronic data and command transmission services for coordination of and communication between utility company-owned, -operated, or -licensed equipment and energy management equipment obtained by end-users for free, by lease or by purchase
Enhancements to premises monitor or control device (e.g., thermostats, etc) are detailed herein. For example, enhanced relating to simplification of scheduling, are described as well as other enhancements relating to reducing device costs or consumption costs, providing richer features or more robust feature sets, and/or delivering associated product or services with increased simplicity, convenience, or ease.
Feedback is provided to a user based on a setting for a set of energy consuming devices. While a user modifies a thermostat's schedule or provides user commands to adjust a setting for the set of energy consuming devices, a user interface component generates feedback to the consumer in response to an adjusted setting based on a condition for a predetermined function. A positive feedback component generates a positive feedback, such as a positive image in the user interface if the setting meets or exceeds a recommended performance metric for an operational parameter for the set of energy consuming devices. A negative feedback component generates a negative feedback, such as a negative image if the setting meets or exceeds a second condition, such as a discouraged performance metric.
The subject disclosure provides a communications architecture for managing/relaying utility information, such as energy, water or gas information. In one aspect, the system includes a hub having a first communications interface for receiving consumption data of a predetermined energy load and a second communications interface for communicating with a metering device. The second communications interface is configured to transmit the consumption data to the metering device and to receive control signals from the metering device where the consumption data is communicated using a first protocol and wherein the control signals are communicated using a second protocol.
G01R 22/00 - Arrangements for measuring time integral of electric power or current, e.g. electricity meters
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
The subject disclosure provides a communications architecture for managing/relaying utility information, such as energy, water or gas information. In one aspect, the system includes a hub having a first communications interface for receiving consumption data of a predetermined energy load and a second communications interface for communicating with a metering device. The second communications interface is configured to transmit the consumption data to the metering device and to receive control signals from the metering device where the consumption data is communicated using a first protocol and wherein the control signals are communicated using a second protocol.
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Electronic systems comprised of electronic display units, computer hardware, electronic transmitters and receivers, temperature and humidity controllers and sensors, electric switches, electrical plugs and sockets, and software for monitoring and controlling utility consumption, namely electricity, water, and gas consumption. (1) Online system management services that allow users to remotely monitor and control their electric, water, and gas utility consumption and to remotely monitor, program, and control large and small appliances.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Electronic systems comprised of electronic display units, computer hardware, electronic transmitters and receivers, temperature and humidity controllers and sensors, electric switches, electrical plugs and sockets, and software for monitoring and controlling utility consumption, namely electricity, water, and gas consumption. (1) Online system management services that allow users to remotely monitor and control their electric, water, and gas utility consumption and to remotely monitor, program, and control large and small appliances.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Electronic systems comprised of electronic display units, computer hardware, electronic transmitters and receivers, temperature and humidity controllers and sensors, electric switches, electrical plugs and sockets, and software for monitoring and controlling utility consumption, namely electricity, water, and gas consumption. (1) Online system management services that allow users to remotely monitor and control their electric, water, and gas utility consumption and to remotely monitor, program, and control large and small appliances.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
[ Electronic systems comprised of electronic display units, computer hardware, electronic transmitters and receivers, temperature and humidity controllers and sensors, electric switches, electrical plugs and sockets, and software for monitoring and controlling utility consumption, namely, electricity, water, and gas consumption ] Online system management services that allow users to remotely monitor and control their electric, water, and gas utility consumption and to remotely monitor, program, and control large and small appliances
