Building and building cluster energy management and optimization system and method

This invention describes a computer system designed to intelligently manage a building's energy use. It works by predicting how much power renewable sources (like solar panels) will generate and how much energy the building will need. Using these predictions, along with information about battery storage, building systems like HVAC, and grid electricity prices, the system decides the best times to buy or sell energy from the main power grid, specifically using a complex mathematical method called "sample average approximation stochastic programming" to forecast energy demand.

Why it matters: Since 2018, significant advancements in machine learning, cloud computing, and optimization algorithms have made implementing complex forecasting methods, such as stochastic programming, more efficient and accurate. This reduces the technical barrier for building such a sophisticated energy management system today.

Status: Not in forceListed as no longer active.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

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