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In this report, statistical charging load modelling of plug-in hybrid electric vehicles in electricity distribution networks using National travel survey data was investigated. National travel survey data was used because it offers valuable information about car use habits, which have major impact on the network effects of PHEVs, of Finns. The modelling(More)
Short-term forecasting of electric loads is an essential function required by Smart Grids. Today increasing amount of smart metering data is available enabling the development of enhanced data-driven models for short-term load forecasting. Until now, a plethora of models have been developed ranging from simple linear regression models to more advanced(More)
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