Abstract: One example includes a forecast engine that generates forecast data that characterizes predicted operating conditions of an energy storage system for a given time period in the future, wherein the predicted operating conditions are based on a load history for a power consuming premises coupled to the energy storage system and on a value history for power provided to and consumed from a power grid. The load history of the power consuming premises characterizes unmetered power transferred to the power consuming premises, metered powered transferred from the power grid to the power consuming premises and metered powered exchanged from the energy storage system to the power grid. In the example, a schedule manager generates an operation schedule for operating the energy storage system. The operation schedule includes charge and discharge patterns for an energy storage source that are tuned to curtail power costs and/or elevate power revenue value.

Abstract: One example includes a forecast engine that generates forecast data that characterizes predicted operating conditions of an energy storage system for a given time period in the future, wherein the predicted operating conditions are based on a load history for a power consuming premises coupled to the energy storage system and on a value history for power provided to and consumed from a power grid. The load history of the power consuming premises characterizes unmetered power transferred to the power consuming premises, metered powered transferred from the power grid to the power consuming premises and metered powered exchanged from the energy storage system to the power grid. In the example, a schedule manager generates an operation schedule for operating the energy storage system. The operation schedule includes charge and discharge patterns for an energy storage source that are tuned to curtail power costs and/or elevate power revenue value.

Abstract: Embodiments of the present invention provide for impedance shift analysis for failure prediction in an electrical power distribution network. In an embodiment of the invention, the method includes receiving a sequence of electrical measurements indicative of an impedance measured for a segment of an electrical power distribution network over a period of time. Then, a set of impedance measurements is computed for the period of time and the set of impedance measurements is organized into a distribution correlating each one of the impedance measurement with a corresponding computed current measurement. A trend line for the distribution is identified and a slope computed of the trend line. Finally, on condition that the slope exceeds a threshold steepness, an impending failure in the segment is determined and a notification transmitted over a computer communications network to an end user requesting physical inspection of the segment.