Teasing Detailed Home Habits from Aggregate Energy Consumption Data
Diane J. Cook and Chao Chen
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12 Feb 2017
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.
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IEEE Smart Grid Newsletters