Search Results - "Darwish, Mohamed M.F"

PVC nanocomposites for cable insulation with enhanced dielectric properties, partial discharge resistance and mechanical performance by Abdel-Gawad, Nagat M.K, El Dein, Adel Z, Mansour, Diaa-Eldin A, Ahmed, Hanaa M, Darwish, Mohamed M.F, Lehtonen, Matti

“…The current study aims to develop polyvinyl chloride (PVC) nanocomposites with enhanced electrical and mechanical properties by incorporating titanium oxide…”
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Reliable and Robust Observer for Simultaneously Estimating State-of-Charge and State-of-Health of LiFePO4 Batteries by Al-Gabalawy, Mostafa, Mahmoud, Karar, Darwish, Mohamed M.F., Dawson, James A., Lehtonen, Matti, Hosny, Nesreen S.

“…Batteries are everywhere, in all forms of transportation, electronics, and constitute a method to store clean energy. Among the diverse types available, the…”
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A new technique for fault diagnosis in transformer insulating oil based on infrared spectroscopy measurements by Darwish, Mohamed M. F., Hassan, Mohamed H. A., Abdel‐Gawad, Nagat M. K., Lehtonen, Matti, Mansour, Diaa‐Eldin A.

“…Condition monitoring of the insulating system within power transformers has a massive importance according to the electrical utilities. Dissolved gas analysis…”
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Towards energy‐efficient smart homes via precise nonintrusive load disaggregation based on hybrid ANN–PSO by Ramadan, R., Huang, Qi, Bamisile, Olusola, Zalhaf, Amr S., Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M. F.

“…Nowadays, the load monitoring system is an important element in smart buildings to reduce energy consumption. Nonintrusive load monitoring (NILM) is utilized…”
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Optimum estimation of series capacitors for enhancing distribution system performance via an improved hybrid optimization algorithm by Mohamed, Mohamed Abd‐El‐Hakeem, Abdelaziz, Almoataz Y., Darwish, Mohamed M. F., Lehtonen, Matti, Mahmoud, Karar

“…As the load on distribution networks grows, system operators and planners are constantly challenged with the issue of voltage regulation or enhancing the…”
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Evaluating transient behaviour of large‐scale photovoltaic systems during lightning events using enhanced finite difference time domain method with variable cell size approach by Hetita, Ibrahim, Mansour, Diaa‐Eldin A., Han, Yang, Yang, Ping, Wang, Congling, Darwish, Mohamed M. F., Lehtonen, Matti, Zalhaf, Amr S.

“…Photovoltaic (PV) arrays are usually installed in open areas; hence, they are vulnerable to lightning strikes that can result in cell degradation, complete…”
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Thermal analysis of the influence of harmonics on the current capacity of medium‐voltage underground power cables by Gouda, Osama E., El Dein, Adel Z., Tag‐Eldin, Elsayed, Lehtonen, Matti, Darwish, Mohamed M. F.

“…In this article, an algorithm is proposed and used to study the influence of harmonics on the behavior of medium‐voltage underground cables in flat formation…”
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An optimal network constraint-based joint expansion planning model for modern distribution networks with multi-types intermittent RERs by Zhou, Siyu, Han, Yang, Yang, Ping, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M.F., Zalhaf, Amr S.

“…Currently, distribution systems are continuously evolving towards modern and flexible structures while integrating promising renewable energy resources (RERs)…”
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A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation by Zhou, Siyu, Han, Yang, Mahmoud, Karar, Darwish, Mohamed M.F., Lehtonen, Matti, Yang, Ping, Zalhaf, Amr S.

“…Achieving the goal of sustainable development is dependent on the widespread integration of renewable energy sources, energy storage systems (ESSs), and…”
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Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters by Elsisi, Mahmoud, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M F

“…The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the…”
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Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings by Elsisi, Mahmoud, Tran, Minh-Quang, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M F

“…Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors. The internet of…”
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Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic by Ali, Mahmoud N, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M F

“…This paper addresses the improvement of tracking of the maximum power point upon the variations of the environmental conditions and hence improving…”
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An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems by Ali, Mahmoud N., Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M. F.

“…Recently, solar energy has been intensively employed in power systems, especially using the photovoltaic (PV) generation units. In this regard, this paper…”
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A multiple uncertainty-based Bi-level expansion planning paradigm for distribution networks complying with energy storage system functionalities by Zhou, Siyu, Han, Yang, Chen, Shuheng, Yang, Ping, Mahmoud, Karar, Darwish, Mohamed M.F., Matti, Lehtonen, Zalhaf, Amr S.

“…Reliability improvement is regarded as a crucial task in modern distribution network expansion planning. Compared to previous works, this paper presents a…”
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Risk-averse bi-level planning model for maximizing renewable energy hosting capacity via empowering seasonal hydrogen storage by Zhou, Siyu, Han, Yang, Zalhaf, Amr S., Lehtonen, Matti, Darwish, Mohamed M.F., Mahmoud, Karar

“…Renewables (i.e., solar and wind power) in the Nordic area have highly seasonal characteristics, which severely restrict the wide development of renewables…”
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A novel stochastic multistage dispatching model of hybrid battery-electric vehicle-supercapacitor storage system to minimize three-phase unbalance by Zhou, Siyu, Han, Yang, Zalhaf, Amr S., Lehtonen, Matti, Darwish, Mohamed M.F., Mahmoud, Karar

“…The unbalanced load distribution, the single-phase connection of renewable energy, and the uncoordinated charging of electric vehicles (EVs) will bring a…”
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Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties by Elsisi, Mahmoud, Tran, Minh‐Quang, Mahmoud, Karar, Mansour, Diaa-Eldin A., Lehtonen, Matti, Darwish, Mohamed M.F.

“…•Developing a reliable and secure IoT against transformer cyberattacks.•Introducing a deep 1D-CNN for fault classification against uncertainties.•Deep 1D-CNN…”
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An Improved Neural Network Algorithm to Efficiently Track Various Trajectories of Robot Manipulator Arms by Elsisi, Mahmoud, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M. F.

“…The tuning of the robot actuator represents many challenges to follow a predefined trajectory on account of the uncertainties of parameters and the model…”
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Precise transformer fault diagnosis via random forest model enhanced by synthetic minority over-sampling technique by Prasojo, Rahman Azis, Putra, Muhammad Akmal A., Ekojono, Apriyani, Meyti Eka, Rahmanto, Anugrah Nur, Ghoneim, Sherif S.M., Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M.F.

“…•Development of random forest algorithm for fault identification of transformers.•Machine-learning model reduces limitation and complexity of implementing…”
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Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations by Elsisi, Mahmoud, Tran, Minh-Quang, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M. F.

“…Wind speed fluctuations and load demand variations represent the big challenges against wind energy conversion systems (WECS). Besides, the inefficient…”
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