A comprehensive survey of electric vehicle charging demand forecasting techniques

M Rashid, T Elfouly, N Chen - IEEE Open Journal of Vehicular …, 2024 - ieeexplore.ieee.org
The transition of the automotive sector to electric vehicles (EVs) necessitates research on
charging demand forecasting for optimal station placement and capacity planning. In the …

Energy management strategy of a novel parallel electric-hydraulic hybrid electric vehicle based on deep reinforcement learning and entropy evaluation

Z Zhang, T Zhang, J Hong, H Zhang, J Yang - Journal of Cleaner …, 2023 - Elsevier
An excellent energy management strategy is paramount to the new energy vehicle safety,
durability, and reliability, which invariably affects the driving experience. This paper …

Deep learning framework for day-ahead optimal charging scheduling of electric vehicles in parking lot

MA Gharibi, H Nafisi, H Askarian-abyaneh… - Applied Energy, 2023 - Elsevier
The increase of electric vehicles (EVs) in the power system, in addition to environmental
benefits, also has economic advantages. Charging parking lots can perform better …

Deep generative models in energy system applications: Review, challenges, and future directions

X Zhang, A Glaws, A Cortiella, P Emami, RN King - Applied Energy, 2025 - Elsevier
In recent years, with the advent of mature machine learning products like ChatGPT, Stable
Diffusion, and Sora, the world has witnessed tremendous changes driven by the rapid …

Deep reinforcement learning for charging scheduling of electric vehicles considering distribution network voltage stability

D Liu, P Zeng, S Cui, C Song - Sensors, 2023 - mdpi.com
The rapid development of electric vehicle (EV) technology and the consequent charging
demand have brought challenges to the stable operation of distribution networks (DNs). The …

Techno-economic-environmental energy management of a micro-grid: a mixed-integer linear programming approach

SH Mirbarati, N Heidari, A Nikoofard, MSS Danish… - Sustainability, 2022 - mdpi.com
In recent years, owing to the effect of fossil fuels on global warming, the exhaustion of oil
fields, and the lucrative impacts of renewable energy resources (RESs), the penetration of …

Economic assessment of multi-operator virtual power plants in electricity market: A game theory-based approach

SS Gougheri, M Dehghani, A Nikoofard… - Sustainable Energy …, 2022 - Elsevier
In recent years, the penetration of distributed energy resources (DERs) has increased
significantly due to their tremendous effect on network flexibility, economic indicators, and …

Exploring the sustainability of China's new energy vehicle development: fresh evidence from population symbiosis

S Wang - Sustainability, 2022 - mdpi.com
It is particularly important to measure the growth prospects of new energy vehicles,
especially electric vehicles, as they can effectively reduce the negative effects of the …

Diffcharge: Generating ev charging scenarios via a denoising diffusion model

S Li, H Xiong, Y Chen - IEEE Transactions on Smart Grid, 2024 - ieeexplore.ieee.org
Recent proliferation of electric vehicle (EV) charging load has imposed vital stress on power
grid. The stochasticity and volatility of EV charging behaviors render it challenging to …

Market-Level Integrated Detection Against Cyber Attacks in Real-Time Market Operations By Self-Supervised Learning

Z Zhang, S Bu, Y Zhang, Z Han - IEEE Transactions on Smart …, 2024 - ieeexplore.ieee.org
The increasing integration of information and communication technologies into power grids
makes the coupling between cyber and physical power system operations intricate. Along …