This invention describes a system for managing a building's energy use, particularly for heating and cooling. It works by using a computer program that learns how much energy a house typically uses based on real data, then combines this with future energy prices and weather forecasts to create a smart plan for saving energy. The system includes small devices placed next to each energy-consuming unit, like an air conditioner, which receive instructions from a central computer, and the learning program can specifically use a neural network.
Why it matters: Filed before the widespread maturity of machine learning frameworks and cloud-based AI services, the core neural network component is now significantly easier to develop and deploy. This reduces the software barrier for creating the learning-based energy models described.
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