[HTML][HTML] Demand side management of electric vehicles in smart grids: A survey on strategies, challenges, modeling, and optimization
The shift of transportation technology from internal combustion engine (ICE) based vehicles
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …
to electric vehicles (EVs) in recent times due to their lower emissions, fuel costs, and greater …
[HTML][HTML] Assessment of charging technologies, infrastructure and charging station recommendation schemes of electric vehicles: A review
GF Savari, MJ Sathik, LA Raman, A El-Shahat… - Ain Shams Engineering …, 2023 - Elsevier
This article comprehensively reviews recent Electric Vehicle (EV) charging infrastructure,
technology, and issues related to charging station identification. A literature study on the …
technology, and issues related to charging station identification. A literature study on the …
Reinforcement learning for demand response: A review of algorithms and modeling techniques
JR Vázquez-Canteli, Z Nagy - Applied energy, 2019 - Elsevier
Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …
resources are one possibility to mitigate the dependence of residential buildings on the …
Reinforcement learning based EV charging management systems–a review
HM Abdullah, A Gastli, L Ben-Brahim - IEEE Access, 2021 - ieeexplore.ieee.org
To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …
A review of optimal charging strategy for electric vehicles under dynamic pricing schemes in the distribution charging network
This study summarizes a critical review on EVs' optimal charging and scheduling under
dynamic pricing schemes. A detailed comparison of these schemes, namely, Real Time …
dynamic pricing schemes. A detailed comparison of these schemes, namely, Real Time …
Reinforcement learning in sustainable energy and electric systems: A survey
The dynamic nature of sustainable energy and electric systems can vary significantly along
with the environment and load change, and they represent the features of multivariate, high …
with the environment and load change, and they represent the features of multivariate, high …
Electric vehicle charging service operations: A review of machine learning applications for infrastructure planning, control, pricing and routing
N Fescioglu-Unver, MY Aktaş - Renewable and Sustainable Energy …, 2023 - Elsevier
The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …
Charge scheduling optimization of plug-in electric vehicle in a PV powered grid-connected charging station based on day-ahead solar energy forecasting in Australia
Optimal charge scheduling of electric vehicles in solar-powered charging stations based on
day-ahead forecasting of solar power generation is proposed in this paper. The proposed …
day-ahead forecasting of solar power generation is proposed in this paper. The proposed …
Urban virtual power plant operation optimization with incentive-based demand response
K Zhou, N Peng, H Yin, R Hu - Energy, 2023 - Elsevier
Urban virtual power plant (VPP) shows great potential in alleviating urban power shortage or
power supply-demand imbalance. This study proposes a bi-layer optimization model …
power supply-demand imbalance. This study proposes a bi-layer optimization model …
Modified deep learning and reinforcement learning for an incentive-based demand response model
L Wen, K Zhou, J Li, S Wang - Energy, 2020 - Elsevier
Incentive-based demand response (DR) program can induce end users (EUs) to reduce
electricity demand during peak period through rewards. In this study, an incentive-based DR …
electricity demand during peak period through rewards. In this study, an incentive-based DR …