A data driven approach for scheduling the charging of electric vehicles

Modern grid comprises of traditional power plant as well as non-conventional energy sources such as solar power plant generators, wind power plant generators etc. But the stochastic nature of renewable energy sources RESs result in fluctuating output by these generators fluctuating in nature. To compensate the effect of the fluctuation and random behavior, implementation of electric vehicles EVs is proposed. The large number of EVs introduces instability if the charging and scheduling of electric vehicles are not properly planned. The inclusion of EVs in the power grid can be better analyzed with the help of charging and scheduling techniques. Hence, this paper aims at the review of advantages, disadvantages of electric vehicles along with the concept of different charge scheduling techniques for electric vehicles. Further, data mining techniques are discussed for analyzing and scheduling the charging of electric vehicles.