Facilitating revenue generation from wholesale electricity markets based on a self-tuning energy asset model

This invention describes a computer system designed to help businesses reduce their electricity costs by intelligently scheduling the operation of their energy equipment. It works by building a dynamic digital model of a building's energy consumption, which continuously learns and adjusts based on changes in the equipment or environmental conditions. The system then uses this adaptive model to recommend optimal operating times for the building's controllable energy assets, aiming to capitalize on price variations in wholesale electricity markets.

Why it matters: Filed before the widespread adoption of advanced machine learning frameworks and cloud computing. These advancements now make the "self-tuning" and "adaptive" modeling aspects of the system significantly more practical and efficient to implement.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, adaptive control, energy modeling.

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