Abstract: A method includes: calculating a load prediction arising from an power consumption entity over a prospective time period; calculating a predicted off-grid power supply from an off-grid power supply; minimizing, for a respective time interval, a calculated amount of electrical-power to import from a power grid, in accordance with output from a cost function; and, for at least one interval, importing, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval. The cost function uses: (i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, (ii) the load prediction over the prospective time period, (iii) the predicted off-grid electrical-power supply over the prospective time period, (iv) a state of a rechargeable battery.

Abstract: Systems and techniques are disclosed for individually controlling energy storage devices in an array of devices. An energy storage regulation unit (ESRU) is described that enables the connection of an energy storage device to a system load bus and a charging/diagnostic bus such that the energy storage device may be individually charged and/or disconnected for maintenance. The ESRU comprises switches for selectively connecting the system load bus circuit, charging circuit, or a bypass circuit. An energy storage regulator is further described for enabling the control of one or more ESRUs. A regulator controller may receive sensor or measurement data from the ESRUs connected to the energy storage regulator, and may also issue control instructions that control the switches of the individual ESRUs. Measurement data can include, for example, voltage, current, or temperature information relating to a specific ESRU.

Abstract: Systems and techniques are disclosed for flexible, secure energy management that enable control of individual devices in a customer site's energy infrastructure, which can allow optimization (e.g., by minimizing energy cost or usage) across the infrastructure. A system management component may centralize optimization and control capabilities across the energy infrastructure by determining an energy model and directing consumption, storage, and energy draw activities for the totality of the energy infrastructure devices. Systems may include modular, secure terminal devices that can be attached to or paired with the devices in an energy infrastructure in order to provide input data such as power load metrics, as well as to control the operation of the devices. A dynamic, adaptive prediction of system parameters, such as future demand, cost, generation capacity, and other metrics, may be provided. Dynamic, adaptive prediction may be performed without detailed historical usage data.

Abstract: A method includes: calculating a load prediction arising from an power consumption entity over a prospective time period; calculating a predicted off-grid power supply from an off-grid power supply; minimizing, for a respective time interval, a calculated amount of electrical-power to import from a power grid, in accordance with output from a cost function; and, for at least one interval, importing, from the power grid, the corresponding calculated amount of electrical-power corresponding to the at least one interval. The cost function uses: (i) a multi-component time of use tariff schedule associated with the power grid that includes a first power rate during a prospective time period and second power rate during a second time period, (ii) the load prediction over the prospective time period, (iii) the predicted off-grid electrical-power supply over the prospective time period, (iv) a state of a rechargeable battery.