Energy demand forecasting and sustainable energy management using machine learning

This invention uses artificial intelligence to predict how much energy an organization's buildings will need. It first estimates future occupancy based on sensor data from the facilities, then uses this to forecast energy demand. Finally, it creates an energy plan suggesting specific energy resources, considering factors like cost and environmental impact, to help increase the use of renewable energy.

Why it matters: The sophistication and accessibility of machine learning models for complex forecasting and constraint-based plan generation have significantly advanced since 2021. This makes building robust systems for optimizing energy resource selection and sustainability more practical and effective.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning models, sensor integration, software system

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