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Accurate electrical load forecasts are of vital interest to power companies. Short term load forecasts for next hours in particular are important for power dispatch, power trading and system operation. This paper analyzes the conjectures that a self-adaptive weighting algorithm (SAW), blending different standard load forecasting approaches, such as a dynamic standard load profile model, a linear regression...
The roll out of smart meters introduces “Time of Use” tariffs to incentive demand response for household customers. This paper describes a methodology to identify the impact of demand response in customer load profiles and applies it to a smart meter data set. The smart meter data for residential household is from the Irish CER Smart Metering Project. The profiles are segmented via kmeans clustering...
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