@article{777522,
      recid = {777522},
      author = {Tang, Wanrong, and Zhang, Ying Jun,},
      title = {Optimal charging control of electric vehicles in smart  grids /},
      pages = {1 online resource (xi, 106 pages) :},
      abstract = {"This book introduces the optimal online charging control  of electric vehicles (EVs) and battery energy storage  systems (BESSs) in smart grids. The ultimate goal is to  minimize the total energy cost as well as reduce the  fluctuation of the total power flow caused by the  integration of the EVs and renewable energy generators.  Using both theoretic analysis and data-driven numerical  results, the authors reveal the effectiveness and  efficiency of the proposed control techniques. A major  benefit of these control techniques is their practicality,  since they do not rely on any non-causal knowledge of  future information. Researchers, operators of power grids,  and EV users will find this to be an exceptional resource.  It is also suitable for advanced-level students of computer  science interested in networks, electric vehicles, and  energy systems"--Provided by publisher.},
      url = {http://library.usi.edu/record/777522},
      doi = {https://doi.org/10.1007/978-3-319-45862-5},
}