A device for evaluating aspects of health of a residential property configured to: (i) receive a first element of internal home health data captured by one or more smart devices installed within a residential property, the first element of internal home health data reflecting an aspect of operational quality of one or more assets of the residential property; (ii) determine a safety score based upon the first element of internal home health data; (iii) receive a second element of internal home health data captured by the one or more smart devices; (iv) determine a home health score based upon the first or second elements of internal home health data, the home health score representing a measure of health of the residential property; and (v) cause to be displayed, to a homeowner via a graphical user interface, a home health evaluation that includes the safety score and the home health score.

A system for managing a plurality of distributed energy resources associated with a structure is disclosed. The structure is at the edge of an electric utility network and receives electric power from the network and may include, for example, a house or building. The structure has distributed energy resources such as solar panels or an electric vehicle charging devices. The system comprises a monitoring unit configured to be electrically coupled to a panel assembly of the structure and a plurality of communication interfaces coupled to the monitoring unit and configured to serve as an access point for the distributed energy resources. The monitoring unit is configured to partially monitor or control functionality of a given distributed energy resource of the plurality of distributed energy resources that is utilizing the access point. The monitoring unit is configured to pass communications between the given distributed energy resource and a vendor associated with the given distributed energy resource.

An information processing device communicating with a terminal includes: a control unit generating an energy flow diagram showing a relationship between energy supply and demand for a region specified by a terminal based on data of the region, and a communication unit providing the energy flow diagram to the terminal. The energy flow diagram includes an object arranged in each energy resource domain, an energy conversion domain, and an energy demand domain, and a flow from the energy resource toward demand domain through the energy conversion domain. The object arranged in the energy resource domain includes a first resource object corresponding to potentials of all renewable energy resources in the region, and one or more second resource objects corresponding to each of one or more types of renewable energy resources having potentials in the region. The flow output from the first resource object is input to the second resource object.

Provided are a frequency modulation method, device and system based on a new energy support machine and an energy storage device, and a new energy field station. The method includes: acquiring a system frequency offset value; determining a frequency modulation scheme for the new energy support machine and/or the energy storage device according to the system frequency offset value; generating a frequency modulation instruction for the new energy support machine and/or the energy storage device according to the frequency modulation scheme, so that the new energy support machine and/or the energy storage device execute a corresponding frequency modulation instruction and modulate the system frequency. The method has high regularity, flexibility in rule adjustment and good real-time performance. When the system frequency of a power grid fluctuates, a new energy support machine with higher durability is selected to support the power grid. The electrochemical energy storage device with poorer durability is selected to support the power grid only when the frequency fluctuation of the system is excessive, thereby reducing the number of times the energy storage device is used, realizing the safe operation of the energy storage device, and improving the use safety of the energy storage device.

A meter socket adapter (MSA) for connecting a battery energy storage system (BESS) to a household microgrid through a meter combo load center. The MSA includes: a housing matching an electricity meter and a meter socket in the meter combo load center; a plurality of power conductors that connect among the electricity meter, the meter socket, and BESS; a meter interconnection device (MID) switch for connecting a utility grid or one or more distribution energy resource (DER) devices to supply power to household loads in the household microgrid; a MID driving circuit for driving the MID switch to close or open; and a MID connection detection circuit to verify an electrical connection of a closed MID switch.

Methods and devices for a condition classification of a power network asset of a power network asset are disclosed. The methods and devices may combine an automatic classification procedure with a missing data replacement procedure.

A method for the management of energy data includes methods, systems and computer program products. One of the methods includes receiving, by a self-executing contract, settlement information from at least two nodes in a network, the network comprising a plurality of nodes, each node in the plurality of nodes may maintain at least a predetermined number of tokens, each token representing a value. The method includes validating a current state of a public ledger. The method includes generating fulfillment information based on the received settlement information. The method also includes contributing to an updated state of the public ledger using the fulfillment information; wherein each token is associated with a payload describing the production, consumption, management, storage or transmission of electricity.

An exemplary embodiment of the present disclosure provides a power converter system comprising a power converter. The power converter system can comprise a power converter electrically connected to a local power supply and an electrical utility grid. The power converter can comprise an output configured to exchange electrical power with the electrical utility grid. The power converter can be further configured to monitor one or more electrical parameters of the electrical utility grid over a period of time and alter one or more electrical parameters of the output of the power converter based on the monitored one or more electrical parameters of the electrical utility grid in real time using a deep learning neural network.

An exemplary embodiment of the present disclosure provides a power converter system comprising a power converter. The power converter system can comprise a power converter electrically connected to a local power supply and an electrical utility grid. The power converter can comprise an output configured to exchange electrical power with the electrical utility grid. The power converter can be further configured to monitor one or more electrical parameters of the electrical utility grid over a period of time and alter one or more electrical parameters of the output of the power converter based on the monitored one or more electrical parameters of the electrical utility grid in real time using a deep learning neural network.

The disclosure relates to systems and methods for managing data generated by connected systems and/or devices in connection with energy usage and/or management decisions. In certain embodiments, a gateway device in communication with one or more connected devices may be configured to receive energy management signal information and apply one or more policies in connection with the management of the connected devices. Responses generated in connection with such energy management decisions may be reported securely in a manner that respects various stakeholder concerns relating to transparency, confidentiality, privacy, auditability, and/or affirmation of data provenance.