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pro vyhledávání: '"Alexeenko, Polina"'
Meeting growing demand for automotive battery resources is predicted to be costly from both economic and environmental perspectives. To minimize these costs, battery resources should be deployed as efficiently as possible. A potential source of ineff
Externí odkaz:
http://arxiv.org/abs/2304.10461
Autor:
Alexeenko, Polina, Bitar, Eilyan
Wide-scale electrification of the transportation sector will require careful planning and coordination with the power grid. Left unmanaged, uncoordinated charging of electric vehicles (EVs) at increased levels of penetration will amplify existing pea
Externí odkaz:
http://arxiv.org/abs/2112.04559
Autor:
Alexeenko, Polina, Bitar, Eilyan
We investigate a data-driven approach to constructing uncertainty sets for robust optimization problems, where the uncertain problem parameters are modeled as random variables whose joint probability distribution is not known. Relying only on indepen
Externí odkaz:
http://arxiv.org/abs/2004.03069
Autor:
Alexeenko, Polina, Bitar, Eilyan
Publikováno v:
In Transportation Research Part D May 2023 118
