Machine learning techniques can be applied to sensor data collected from smart homes to reveal activity patterns of the residents, which can then be correlated with measured energy consumption. By associating activities with energy use and costs, intelligent systems can be devised to automatically control home environments so as to improve energy efficiency and cut expenses.
Teasing Detailed Home Habits from Aggregate Energy Consumption Data
Posted: 12 Feb 2017
Authors:Diane J. Cook and Chao Chen
Primary Committee:IEEE Smart Grid Newsletters
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