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Stochastic analysis for forecasting the MW load of plug-in electric vehicles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013) 8298 LNCS(PART 2) 237-247
DOI: 10.1007/978-3-319-03756-1_21
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Abstract

This paper proposes a Monte Carlo analysis for forecasting the MW load of plug-in electric vehicles. The method considers the number of vehicles in a city, Wh/km, km per vehicle, vehicles on chargers, and power factor of chargers. Using the Monte Carlo method, the range of the MW load is forecasted, considering the associated ranges of the various parameters and variables. © 2013 Springer International Publishing.

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Indulkar, C. S., & Ramalingam, K. (2013). Stochastic analysis for forecasting the MW load of plug-in electric vehicles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8298 LNCS, pp. 237–247). https://doi.org/10.1007/978-3-319-03756-1_21

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