Disclosed is a method and instrumentation for predictive and adaptive controllers devised to ensure uninterrupted operation of standalone electrical supply systems powered by sustainable energy sources. The device, herein referred to as SelfMaster, is an expert system that manages the energy conversion, storage, and consumption in an isolated electric grid based on data collected during past and current operation of the system and predicted future states of the primary energy sources, storage level, and demand. The sustainable primary energy sources managed by SelfMaster may include, but are not limited to, wind force, solar radiation, and biofuels. The energy storage system is a combination of batteries, hydrogen, biofuel, and hot water tanks. Electric demand consists of critical, non-critical, and deferrable loads identified according to the activities supported by the supply system.

Provided is a network system. The network system includes: at least one unit selected from an energy receiving unit receiving energy and an energy management unit managing the energy receiving unit. An energy usage amount or energy usage rate of the energy receiving unit is adjusted; an energy usage amount or usage rate when the unit is controlled based on information relating to at least an energy rate is less than that when the unit is controlled without the base of information relating to at least an energy rate; the energy receiving unit comprises a plurality of components; and an operation of one component among the plurality of components is controlled based on the energy rate related information.

A method for controlling a supply of at least one load with voltage and/or electric current through an electric network.

A method relating to a device (1) for driving at least one power electric load (2) with the aim of reducing the electric power liable to be consumed or which is actually consumed in a terminal installation (4) of an electrical network including an electrical energy meter behind which the device is connected. A system (12) including such a device and at least one power electric load (2) is also described. Also described is a method for exploiting a plurality of systems (12) within an electrical network as well as the applications of this method for the management of an electrical network including intermittent-production energy sources, within the framework of a service for managing reduction in electrical energy consumption and/or to supplement a service for providing sanitary hot water, and/or heating, and/or cooling, and/or for providing electricity.

Systems and methods for intelligent transfer and management of power maintain a continuous and cost efficient supply of power to electrical loads in a residential or commercial unit when different energy resources such as utility, backup generators, energy storage systems and distributed energy resources (e.g. solar and wind) are available.

An energy storage system for a building includes a battery and an energy storage controller. The battery is configured to store electrical energy purchased from a utility and to discharge stored electrical energy for use in satisfying a building energy load. The energy storage controller is configured to generate a cost function including a peak load contribution (PLC) term. The PLC term represents a cost based on electrical energy purchased from the utility during coincidental peak hours in an optimization period. The controller is configured to modify the cost function by applying a peak hours mask to the PLC term. The peak hours mask identifies one or more hours in the optimization period as projected peak hours and causes the energy storage controller to disregard the electrical energy purchased from the utility during any hours not identified as projected peak hours when calculating a value for the PLC term.

An energy saving support system according to an embodiment is configured to provide a consumer, who has an electric load to which electric energy is supplied from an electric power supply system within a house, with energy consumption-related information through a photo frame or the like. The information providing apparatus is configured to acquire an acceptability level, which stepwise indicates a degree of interest of the consumer in the energy consumption-related information, and to determine the energy consumption-related information to be newly provided to the consumer based on the acceptability level.

A system for energy-usage optimization is a system that monitors the power delivered to at least one power distribution system. Each power distribution system includes at least one power storage unit and a multiway additive switch. The multiway additive switch enables the power distribution system to selectively provide power from an sub-circuit, from the at least one power storage unit, and a combination of both the sub-circuit and the at least one power storage unit. The system may serve as a stand-alone apparatus that is connected in between the sub-circuit, through an outlet, and an electrical load. The system increases power delivery, reducing the wait-time of an electrical load to reach maximum performance. Electrical loads, preferably appliances, are no longer limited by instantaneous power availability of the sub-circuit.

Disclosed is a system for managing energy of a community in which at least one building exists. The system includes a community agent for managing community energy demand prediction data including building energy demand prediction data of each building and a community demand reaction load capacity including a building demand reaction load capacity of each building and managing a community demand reaction incentive policy applied to the community; and a machine learning device for generating a building demand reaction incentive policy to be applied to each building through a community-optimized machine learning model.

A electrical distribution system has been developed to provide a remote central control point for individual circuits, and methods have been developed for retrofitting it to existing service panels or installing it into new service panels. This system provides a power circuit monitoring and control system that fits inside standard residential service panels, both new and retrofitted panels. The entire system can be retrofitted into existing breaker panel systems without the need of removing any permanent structure such as a wall. During this retrofit process, the panel cover on the existing distribution panel is first removed after the power to it is disconnected. The old breaker assembly is removed from the panel, and a circuit controller is then installed in the now available space within the panel. A new service panel enclosure with a circuit breaker assembly is installed directly over top of the enclosure.