Inventus Holdings, LLC

Benjamin D Grindy

Gary D Moncrief, Jr

Ryan R Butterfield

Sriharsha Veeramachaneni

Matthew D Briercliffe

Jay K Limbasiya

Aaron J G Epel

Mohammadreza Rezaie

Kenneth A Williams

Gordon W Paynter

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.

Controlling a behind the meter energy storage and dispatch system to improve power efficiency

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Minneapolis, MN, United States of America

Benjamin D Grindy