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

This invention describes a computer system that helps businesses save or make money from electricity markets. It does this by creating a constantly updated computer model of their energy-using equipment, like heating systems or industrial machines. The system then uses this model to suggest the best times to operate the equipment to take advantage of changing electricity prices or market opportunities.

Why it matters: Filed before widespread adoption of advanced machine learning for real-time system optimization. Modern AI techniques could significantly enhance the "self-tuning" model's accuracy and adaptability, making revenue generation more efficient.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, real-time data integration

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