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Feras alasali
Feras alasali
在 hu.edu.jo 的電子郵件地址已通過驗證
標題
引用次數
引用次數
年份
Impact of the COVID-19 pandemic on electricity demand and load forecasting
F Alasali, K Nusair, L Alhmoud, E Zarour
Sustainability 13 (3), 1435, 2021
842021
Optimal power flow management system for a power network with stochastic renewable energy resources using golden ratio optimization method
K Nusair, F Alasali
Energies 13 (14), 3671, 2020
572020
Highly sensitive and fast microgrid protection using optimal coordination scheme and nonstandard tripping characteristics
F Alasali, N El-Naily, E Zarour, SM Saad
International Journal of Electrical Power & Energy Systems 128, 106756, 2021
542021
Optimal placement of FACTS devices and power-flow solutions for a power network system integrated with stochastic renewable energy resources using new metaheuristic …
K Nusair, F Alasali, A Hayajneh, W Holderbaum
International Journal of Energy Research 21, 24, 2021
532021
Energy management systems for a network of electrified cranes with energy storage
F Alasali, S Haben, W Holderbaum
International Journal of Electrical Power & Energy Systems 106, 210-222, 2018
452018
Innovative Adaptive Protection Approach to Maximize the Security and Performance of Phase/Earth Overcurrent Relay for Microgrid Considering Earth Fault Scenarios.
N El-Naily, SM Saad, A Elhaffar, E Zarour, F Alasali
Electric Power Systems Research 206, 107844, 2022
422022
Day-ahead industrial load forecasting for electric RTG cranes
F Alasali, S Haben, V Becerra, W Holderbaum
Journal of Modern Power Systems and Clean Energy, 2018
402018
Assessment of the impact of a 10-MW grid-tied solar system on the Libyan grid in terms of the power-protection system stability
F Alasali, AS Saidi, N El-Naily, O Alsmadi, M Khaleel, I Ghirani
Clean energy 7 (2), 389–407, 2023
352023
Optimal Energy Management and MPC Strategies for Electrified RTG Cranes with Energy Storage Systems
F Alasali, S Haben, V Becerra, W Holderbaum
Energies 10 (10), doi:10.3390/en10101598, 2017
312017
Powering up microgrids: A comprehensive review of innovative and intelligent protection approaches for enhanced reliability
F Alasali, S Saad, AS Saidi, A Itradat, W Holderbaum, N El-Naily, ...
Energy Reports 10, 1899-1924, 2023
292023
An analysis of optimal power flow strategies for a power network incorporating stochastic renewable energy resources
F Alasali, K Nusair, AM Obeidat, H Foudeh, W Holderbaum
International Transactions on Electrical Energy Systems 31 (11), e13060, 2021
242021
Stochastic optimal energy management system for RTG cranes network using genetic algorithm and ensemble forecasts
F Alasali, S Haben, W Holderbaum
Journal of Energy Storage 24, 2019
212019
Power Management System for RTG Crane Using Fuzzy Logic Controller
S Pietrosanti, F Alasali, W Holderbaum
Sustainable Energy Technologies and Assessments 37 (2020), 2020
202020
Highly Fast Innovative Overcurrent Protection Scheme for Microgrid Using Metaheuristic Optimization Algorithms and Nonstandard Tripping Characteristics.
F Alasali, E Zarour, W Holderbaum, K Nusair
IEEE Access 10, 2022
192022
Analysis of RTG Crane Load Demand and Short-term Load Forecasting
F Alasali, S Haben, V Becerra, W Holderbaum
International Journal of Computing, Communications & Instrumentation …, 2016
192016
Energy reduction on eRTG
A Luque, I Harrison, S Pietrosanti, F Alasali, W Holderbaum, RM Mayer, ...
2016 IEEE 16th International Conference on Environment and Electrical …, 2016
182016
A new adaptive protection approach for overcurrent relays using novel nonstandard current-voltage characteristics
E Zarour, F Alasali, O Alsmadi, N El-Naily
Electric Power Systems Research 216, 109083, 2023
162023
A Comparative Study of Energy Storage Systems and Active Front Ends for Networks of Two Electrified RTG Cranes
F Alasali, A Luque, R Mayer, W Holderbaum
Energies 12 (9), 2019
152019
Tiny machine learning on the edge: A framework for transfer learning empowered unmanned aerial vehicle assisted smart farming
AM Hayajneh, SA Aldalahmeh, F Alasali, H Al‐Obiedollah, SA Zaidi, ...
IET Smart Cities 6 (1), 10-26, 2024
142024
Intelligent Solar Forecasts: Modern Machine Learning Models & TinyML Role for Improved Solar Energy Yield Predictions
ALI HAYAJNEH, F ALASALI, A SALAMA, W HOLDERBAUM
IEEE Access 4 (2016), 10.1109/ACCESS.2024.3354703, 2024
142024
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