This paper presents various approaches used by researchers for handling the uncertainties
involved in renewable energy sources, load demands, etc. It gives an idea about stochastic …

Electric vehicles (EVs) will become an integral part of the future smart grid. Random
charging of EVs may give birth to many issues such as increasing losses, voltage deviation …

Plug-in Electrical Vehicles (PEVs) are expected to be continuously adopted worldwide in
near future. PEV charging characteristics are quite unique and depend solely on drivers' …

This paper presents a multi-objective framework for the optimal scheduling of Electric
Vehicles (EVs) to satisfy the interests of multiple stakeholders, such as EV owner/aggregator …

Electric Vehicle (EV) sales continue to increase, making a preexisting need for updating
current infrastructure even more important. Public charging, in particular, fast DC charging …

Although a diversity of approaches towards Non-Intrusive Load Monitoring (NILM) are now
available, complementary studies must be carried out in order to improve load modeling and …

As mobile charging service has the advantages of flexible charging and simple operation, it
is selected by more and more users of electric vehicles. However, due to the differences in …

Every day, governments are setting various and ambitious targets to be energy efficient and
reduce emissions of harmful substances. One of the key players in the focus of all these …

This paper proposes a novel Markov decision process (MDP) with dynamic transition
probabilities for the stochastic modeling of the charging process of plug-in hybrid electric …

Technical progress in electric vehicles (EVs) has enhanced their competitiveness in the
transport sector. Social and environmental awareness regarding greenhouse gases …