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Cost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning

date accessioned2020-03-12T19:46:43Z
date available2020-03-12T19:46:43Z
date issued2014
identifier other6819237.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/989751?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleCost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning
typeConference Paper
contenttypeMetadata Only
identifier padid8106018
subject keywordsCreep
subject keywordsEnergy measurement
subject keywordsMathematical model
subject keywordsStrain
subject keywordsStress
subject keywordsStress measurement
identifier doi10.1109/ICFDA.2014.6967374
journal titleystems Conference (SysCon), 2014 8th Annual IEEE
filesize889158
citations0
contributor rawauthorShah, J. , Nielsen, M. , Reid, A. , Shane, C. , Mathews, K. , Doerge, D. , Piel, R. , Anderson, R. , Boulanger, A. , Wu, L. , Bhandari, V. , Gagneja, A. , Kressner, A. , Xiaohu Li , Sarkar, S.


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