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.
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© 2013 Springer International Publishing Switzerland
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Indulkar, C.S., Ramalingam, K. (2013). Stochastic Analysis for Forecasting the MW Load of Plug-In Electric Vehicles. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8298. Springer, Cham. https://doi.org/10.1007/978-3-319-03756-1_21
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DOI: https://doi.org/10.1007/978-3-319-03756-1_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03755-4
Online ISBN: 978-3-319-03756-1
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