Abstract: The goal of the proposed research is to identify ways to inexpensively provide specific information about energy consumption in buildings and facilitate conservation. Signal processing, machine learning, and data fusion techniques will be developed to extract actionable information from whole-building power meters and other available sensors.

Abstract

The goal of this research is to identify ways to inexpensively provide detailed information about energy consumption in buildings and facilitate conservation. By relying on aggregate data, homeowners and facility managers are blind to the contribution of individual appliances and activities to the overall numbers. And while there is adequate evidence that providing real-time, appliance-specific data allows users to achieve significant energy savings, the available solutions in the market are either inadequately granular or prohibitively expensive.