Quantifying flexibility of residential electric vehicle charging loads using non-intrusive load extracting algorithm in demand response
H Zhao, X Yan, H Ren - Sustainable cities and society, 2019 - Elsevier
The increasing penetration of electric vehicles (EVs) has increased the operational burden
on power grids during peak load periods. Identifying the charging patterns of residential EV …
on power grids during peak load periods. Identifying the charging patterns of residential EV …
Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
W Niu, Z Feng, B Feng, Y Xu, Y Min - Sustainable Cities and Society, 2021 - Elsevier
Accurate future runoff prediction information is of great importance for the planning and
management of both water resource and electric power systems. As employed to address …
management of both water resource and electric power systems. As employed to address …
A dynamic pricing scheme for electric vehicle in photovoltaic charging station based on Stackelberg game considering user satisfaction
Y Dai, Y Qi, L Li, B Wang, H Gao - Computers & Industrial Engineering, 2021 - Elsevier
Electric vehicle (EV) has increasingly become an important part of the load of smart power
grid in recent years. Since uncoordinated EV would stress the distributed grid system, the …
grid in recent years. Since uncoordinated EV would stress the distributed grid system, the …
Energy management of microgrid considering renewable energy sources and electric vehicles using the backtracking search optimization algorithm
Y Li, SQ Mohammed… - Journal of …, 2020 - asmedigitalcollection.asme.org
Different distributed generation (DG) technologies, active loads, and storage devices create
an independent microgrid (MG). Scheduling of an MG is an important issue in renewable …
an independent microgrid (MG). Scheduling of an MG is an important issue in renewable …
Planning a mixed fleet of electric and conventional vehicles for urban freight with routing and replacement considerations
D Celebi - Sustainable Cities and Society, 2021 - Elsevier
The rapid development of electric vehicle technologies can be seen as an opportunity to
achieve sustainability for last mile distribution inside cities. Effective management of electric …
achieve sustainability for last mile distribution inside cities. Effective management of electric …
A hybrid robust-stochastic optimization framework for optimal energy management of electric vehicles parking lots
The integration of electric vehicles (EVs) into the energy industry has introduced an
unprecedented complexity into the energy supply system due to the uncertain nature of such …
unprecedented complexity into the energy supply system due to the uncertain nature of such …
Bald eagle search optimizer-based energy management strategy for microgrid with renewable sources and electric vehicles
A Fathy - Applied Energy, 2023 - Elsevier
The energy crises and environmental problem can be solved by using plug-in hybrid electric
vehicles (PHEVs), the integration of large number of PHEVs with high control capabilities …
vehicles (PHEVs), the integration of large number of PHEVs with high control capabilities …
Advances in teaching-learning-based optimization algorithm: A comprehensive survey
G Zhou, Y Zhou, W Deng, S Yin, Y Zhang - Neurocomputing, 2023 - Elsevier
Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …
learning process in a classroom, is one of population-based heuristic stochastic swarm …
Multi-objective optimization of smart community integrated energy considering the utility of decision makers based on the Lévy flight improved chicken swarm …
J Gao, F Gao, Z Ma, N Huang, Y Yang - Sustainable Cities and Society, 2021 - Elsevier
A community integrated energy system can play a key role in alleviating urban energy
shortages and environmental degradation, but the presence of multiple participants and …
shortages and environmental degradation, but the presence of multiple participants and …
Sizing renewable energy systems with energy storage systems based microgrids for cost minimization using hybrid shuffled frog-leaping and pattern search algorithm
The future of the power system is tied to the use of distributed generation (DGs) like
photovoltaic (PV) and wind turbine (WT) since international societies are concerned …
photovoltaic (PV) and wind turbine (WT) since international societies are concerned …