Bottom-Up Load Forecasting with Markov-Based Error Reduction Method for Aggregated Domestic Electric Water Heaters

IEEE Transactions on Industry Applications(2019)

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摘要
Domestic electric water heaters (DEWHs) can provide operational flexibility for load control due to their energy storage capacity. Load forecasting for aggregated DEWHs is important for providing information of baseline load and controlling electricity demand profile without negative impact to the normal end use. Advanced metering infrastructures nowadays provide more possibilities to further enha...
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关键词
Forecasting,Artificial neural networks,Predictive models,Load forecasting,Water heating,Engines
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