ENERGY MANAGEMENT SYSTEM FOR DISPARATE FACILITIES

Abstract

Predictive energy management across a plurality of microgrids situated at disparate facilities is disclosed. Each microgrid may include one or more distributed energy resources (DERs). Reception of profile data from these microgrids and the creation of aggregated profiles is enabled, which may incorporate the profile data, charts of accounts, energy transfer tariffs, and other energy-related attributes. An event detection engine may identify triggering events such as energy surpluses, deficits, or operational conditions, indicating a benefit to energy reallocation. A recommendation engine may generate energy allocation recommendations based on predictive models, optimizing factors like cost efficiency, carbon offset utilization, and energy availability. The recommendations may be executed through an aggregation server, which dynamically updates the aggregated profiles in real-time.

CPC Classifications