The present disclosure provides a computer-implemented method for recommending one or more control schemes for controlling peak loading conditions and abrupt changes in energy pricing of one or more built environments associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes analysis of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes recommendation of one or more control schemes to a plurality of energy consuming devices and a plurality of energy storage and supply means.

A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

The present disclosure provides a computer-implemented method for prioritizing one or more instructional control strategies to reduce time-variant energy demand of a built environment associated with renewable energy sources. The computer-implemented method includes collection of a first set of statistical data, fetching of a second set of statistical data, accumulation of a third set of statistical data, reception of a fourth set of statistical data and gathering of fifth set of statistical data. Further, the computer-implemented method includes parsing and comparison of the first set of statistical data, the second set of statistical data, the third set of statistical data, the fourth set of statistical data and the fifth set of statistical data. In addition, the computer-implemented method includes identification and prioritization of one or more instructional control strategies to reduce the time-variant energy demand associated with the built environment.

Lighting units, lighting systems, and methods are described herein for automatic and decentralized commissioning of a replacement lighting unit (140, 150, 250). In various embodiments, a replacement lighting unit may receive, from one or more remote lighting units over one or more communication networks, one or more identifiers associated with the one or more remote lighting units. The replacement lighting unit may also receive, from at least one of the one or more remote lighting units over the one or more communication networks, the lighting operation parameters associated with an inoperative lighting unit. The replacement lighting unit may then selectively energize one or more light sources (258) associated with the replacement lighting unit to emit light having one or more properties indicated in the lighting operation parameters associated with the inoperative lighting unit.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

Lighting units, systems, and methods are described herein for determining whether occupancy detections are legitimate or not. Methods and systems are further described herein for powering down a network of power over ethernet (PoE) components.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

Systems for providing operating reserves to an electric power grid are disclosed. In one embodiment, a system comprises at least one power consuming device, at least one controllable device, and a client device constructed and configured in network communication. The at least one controllable device is operably coupled to the at least one power consuming device. The at least one controllable device is operable to control a power flow from the electric power grid to the at least one power consuming device responsive to power control instructions from the client device. Each of the at least one power consuming device has an actual value of power reduced and/or to be reduced based on revenue grade metrology, and confirmed by measurement and verification. The actual value of power reduced and/or to be reduced is a curtailment value as supply equivalence and provides operating reserve for the electric power grid.

In a direct load control system supporting frequency control of an electrical grid, at each electrical load of an aggregation of loads, a load status report is generated comprising an urgency value and a power level. At an aggregation dispatch controller, a dispatch signal is generated based on the generated load status reports and information indicative of electrical frequency. At each electrical load of the aggregation, the load is operated at the reported power level if the reported urgency value satisfies the dispatch signal and is not operated at the reported power level if the reported urgency value does not satisfy the dispatch signal.