Systems and methods for modeling energy consumption and creating demand response strategies using learning-based approaches
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United States of America Patent
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Nov 14, 2017
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app pub date -
Feb 26, 2015
filing date -
Feb 26, 2014
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Abstract
According to various implementations, a demand response (DR) strategy system is described that can effectively model the HVAC energy consumption of a house using a learning based approach that is based on actual energy usage data collected over a period of days. This modeled energy consumption may be used with day-ahead energy pricing and the weather forecast for the location of the house to develop a DR strategy that is more effective than prior DR strategies. In addition, a computational experiment system is described that generates DR strategies based on various energy consumption models and simulated energy usage data for the house and compares the cost effectiveness and energy usage of the generated DR strategies.
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