[HTML][HTML] Techno-economic impact analysis for renewable energy-based hydrogen storage integrated grid electric vehicle charging stations in different potential …

MF Roslan, VK Ramachandaramurthy, M Mansor… - Energy Strategy …, 2024 - Elsevier
This study investigates the techno-economic impacts analysis of renewable energy-based
hybrid energy storage system integrated grid electric vehicles charging station (EVCS) in …

Optimal resilient operation and sustainable power management within an autonomous residential microgrid using African vultures optimization algorithm

MH Elkholy, T Senjyu, M Elymany, MM Gamil… - Renewable Energy, 2024 - Elsevier
This paper introduces an adaptive artificial intelligence (AI)-based home energy
management system (HEMS) to mitigate the discomfort of customers and reduce operational …

[HTML][HTML] Integration and performance analysis of optimal large-scale hybrid PV and pump hydro storage system based upon floating PV for practical application

AS Irshad, GA Ludin, S Ludin, MH Elkholy… - Energy Conversion and …, 2024 - Elsevier
The widespread use of green energy sources creates a significant demand for energy
storage. Hybrid floating photovoltaic (FPV) and pumped hydro storage (PHS) represent one …

Dynamic aggregation strategy for a virtual power plant to improve flexible regulation ability

X Liu, Y Li, L Wang, J Tang, H Qiu, A Berizzi, I Valentin… - Energy, 2024 - Elsevier
The virtual power plant (VPP) provides an effective way for the coordinated and optimized
operation of distributed energy resources (DERs). To solve the aggregation problem of a …

ChatEV: Predicting electric vehicle charging demand as natural language processing

H Qu, H Li, L You, R Zhu, J Yan, P Santi, C Ratti… - … Research Part D …, 2024 - Elsevier
The increasing popularity of electric vehicles (EVs) in recent times has introduced
considerable load conditions for urban power grids and transportation systems, which …

Implementation of a multistage predictive energy management strategy considering electric vehicles using a novel hybrid optimization technique

MH Elkholy, T Senjyu, MM Gamil, ME Lotfy… - Journal of Cleaner …, 2024 - Elsevier
In this paper, a novel artificial intelligence (AI)-based energy management strategy across
three levels is designed for isolated microgrids. During the initial phase, AI is not employed …

[HTML][HTML] Integrated Home Energy Management with Hybrid Backup Storage and Vehicle-to-Home Systems for Enhanced Resilience, Efficiency, and Energy …

L Pai, T Senjyu, MH Elkholy - Applied Sciences, 2024 - mdpi.com
This study presents an innovative home energy management system (HEMS) that
incorporates PV, WTs, and hybrid backup storage systems, including a hydrogen storage …

Learning-based spatially-cascaded distributed coordination of shared transmission systems for renewable fuels and refined oil with quasi-optimality preservation …

S Wang, J Fang, J Wu, X Ai, S Cui, Y Zhou, W Gan… - Applied Energy, 2025 - Elsevier
This paper focuses on the distributed optimal coordination framework for energy
conservation in the emerging shared transmission systems for renewable fuels and refined …

Quantifying and enabling the resiliency of a microgrid considering electric vehicles using a Bayesian network risk assessment

B Ahmadisourenabadi, M Marzband… - Energy, 2024 - Elsevier
With the increase in the number of natural disasters, caused by climate change, the role of
emission and resilience has become more outstanding. In this paper, a novel model for …

Deep reinforcement learning based resource allocation for electric vehicle charging stations with priority service

A Colak, N Fescioglu-Unver - Energy, 2024 - Elsevier
The demand for public fast charging stations is increasing with the number of electric
vehicles on roads. The charging queues and waiting times get longer, especially during the …