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Articles by M. H. Elkholy
Demand aware optimization of hybrid energy storage systems for renewable electric vehicle charging stations under variable electricity demand
Abstract This paper presents a demand-aware optimization framework for a renewable-powered electric vehicle charging station (EVCS) using a hybrid renewable energy system (HRES) comprising solar photovoltaic generation, wind power, battery energy storage systems (BESS), and hydrogen energy storage systems (HESS). The IbI Logics Optimization Algorithm (ILA) is employed to determine the optimal system configuration under varying charging demand conditions.
Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids - Scientific Reports
Abstract With the evolution of smart grids, accurate and secure predictions of the electricity load become crucial for efficient energy management and reliability. In this paper, a scalable and cyber-resilient methodology for electricity consumption forecasting on individual smart meter level based on machine learning and anomaly detection schemes is proposed.
Applied Sciences | Free Full-Text | Integrated Home Energy Management with Hybrid Backup Storage and Vehicle-to-Home Systems for Enhanced Resilience, Efficiency, and Energy Independence in Green Buildings
1. Introduction 1.1. Background and Motivations The global energy landscape is at a critical juncture, facing the dual challenges of finite fossil fuel reserves and escalating environmental impacts [1,2]. Traditional energy sources like coal, oil, and natural gas, while essential for meeting current global energy demands, exact a heavy toll on the environment through greenhouse gas emissions [3]. These emissions contribute significantly to global warming and climate change [4].
An Agile Approach for Adopting Sustainable Energy Solutions with Advanced Computational Techniques
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
An Agile Approach for Adopting Sustainable and Environmentally Friendly Energy Solutions with Advanced Computational Techniques
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 26 April 2024 / Approved: 28 April 2024 / Online: 28 April 2024 (09:57:16 CEST) Konneh, D.A.; Howlader, H.O.R.; Elkholy, M.H.; Senjyu, T. An Agile Approach for Adopting Sustainable and Environmentally Friendly Energy Solutions with Advanced Computational Techniques. Preprints 2024, 2024041846. https://doi.org/10.20944/preprints202404.1846.v1 Konneh, D.A.; Howlader, H.O.R.; Elkholy, M.H.; Senjyu, T.
Energies | Free Full-Text | Optimal Power Scheduling and Techno-Economic Analysis of a Residential Microgrid for a Remotely Located Area: A Case Study for the Sahara Desert of Niger
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Issoufou Tahirou Halidou 1,*, Harun Or Rashid Howlader 2,*, Mahmoud M. Gamil 1,3, M. H.
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