A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
E Yaghoubi, E Yaghoubi, A Khamees, D Razmi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …
autonomously acquire knowledge from data, facilitating predictive and decision-making …
Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study
Abstract Transactive Energy Control (TEC) paradigm enables involving Microgrids (MGs) in
the energy management procedure to realize the transition of energy systems using market …
the energy management procedure to realize the transition of energy systems using market …
[HTML][HTML] Exploring potential storage-based flexibility gains of electric vehicles in smart distribution grids
Flexibility is one of the most important solutions for facilitating the variability of renewable
energy sources (RESs) in a distribution network. It is predicted that electric vehicles (EVs) …
energy sources (RESs) in a distribution network. It is predicted that electric vehicles (EVs) …
[HTML][HTML] Multi-objective stochastic techno-economic-environmental optimization of distribution networks with G2V and V2G systems
SE Ahmadi, SM Kazemi-Razi, M Marzband… - Electric Power Systems …, 2023 - Elsevier
Plug-in electric vehicles (PEVs) are one of the most promising technologies for
decarbonizing the transportation sector towards the global Net-zero target. However …
decarbonizing the transportation sector towards the global Net-zero target. However …
[图书][B] Summability theory and its applications
F Başar - 2022 - taylorfrancis.com
Summability Theory and Its Applications explains various aspects of summability and
demonstrates its applications in a rigorous and coherent manner. The content can readily …
demonstrates its applications in a rigorous and coherent manner. The content can readily …
Data-driven equitable placement for electric vehicle charging stations: Case study San Francisco
California electric vehicle (EV) regulation on phasing out new gasoline vehicles by 2035
and government subsidies are important steps toward the wide adoption of EVs. However …
and government subsidies are important steps toward the wide adoption of EVs. However …
Placement and capacity of ev charging stations by considering uncertainties with energy management strategies
At the present context, Plug-in electric vehicles (PEVs) are gaining popularity in the
automotive industry due to their low CO2 emissions, simple maintenance, and low operating …
automotive industry due to their low CO2 emissions, simple maintenance, and low operating …
[HTML][HTML] Electric vehicle charging technologies, infrastructure expansion, grid integration strategies, and their role in promoting sustainable e-mobility
The transport sector is experiencing a notable transition towards sustainability, propelled by
technological progress, innovative materials, and a dedication to environmental …
technological progress, innovative materials, and a dedication to environmental …
[HTML][HTML] Examining spatial disparities in electric vehicle charging station placements using machine learning
A Roy, M Law - Sustainable cities and society, 2022 - Elsevier
Electric vehicles (EV) are an emerging mode of transportation that has the potential to
reshape the transportation sector by significantly reducing carbon emissions thereby …
reshape the transportation sector by significantly reducing carbon emissions thereby …
[HTML][HTML] Optimal scheduling of micro-energy grid with integrated demand response based on chance-constrained programming
H Wang, H Xing, Y Luo, W Zhang - … Journal of Electrical Power & Energy …, 2023 - Elsevier
The micro-energy grid can meet various load demands and realize the complementary
advantages of different energy sources, which provides a new way to solve the problems of …
advantages of different energy sources, which provides a new way to solve the problems of …