Florida Power & Light Company

Inventus Holdings, LLC

Gary D Moncrief, Jr

Donville D Smith

Ryan R Butterfield

Sriharsha Veeramachaneni

Eduardo J More

Jay K Limbasiya

Matthew D Briercliffe

Aaron J G Epel

Mohammadreza Rezaie

Gordon W Paynter

Marcos Suero

Benjamin D Grindy

Jennifer D Chaney

Kenneth A Williams

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

A system and method of monitoring equipment performance and predicting failures. The system can include a data historian that stores data for a piece of equipment and designates the data to tags. The tags can correspond to sensors that gather the data from the piece of equipment. A matrix model builder application can allow a user to generate regression models for various time spans to determine whether new data is within a normal operating range.

Data analysis applications

Growing community of inventors

Port St. Lucie, FL, United States of America

Gary D Moncrief, Jr