This paper presents a data mining (DM) based approach to developing ensemble models for predicting next-day energy consumption and peak power demand, with the aim of improving the prediction accuracy. This approach mainly consists of three steps. Firstly, outlier detection, which merges feature...

An energy poverty policy simulation model is developed to make integrated decision and optimize China's energy poverty alleviation. In the model, system dynamic modeling is used to investigate the time-varying behavior of energy poverty system over time, and scenario analysis is carried to test...

This paper examines how plug-in electric vehicles can be managed to balance the fluctuation of renewable electricity sources. In this context, different control strategies are introduced. To investigate indirect control via electricity tariffs, an electricity market analysis is conducted of a...

Commercial passenger cars are often discussed as an early market segment for plug-in electric vehicles (EVs). Compared to private vehicles, the commercial vehicle segment is characterized by higher vehicle kilometers travelled and a higher share of vehicle sales in Germany. Studies which...