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Author

Hamid Shakibi

Institution: Urmia University
OpenAlex ID: A5000195028
Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
2023 · Sadegh Afzal, Behrooz M. Ziapour, et al. · Energy · 240
Multi-aspect analysis and RSM-based optimization of a novel dual-source electricity and cooling cogeneration system
2022 · Saeid Azizi, Hamid Shakibi, et al. · Applied Energy · 110
Utilization of a phase change material with metal foam for the performance improvement of the photovoltaic cells
2022 · Hamid Shakibi, Sadegh Afzal, et al. · Journal of Energy Storage · 110
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
2023 · Sadegh Afzal, Afshar Shokri, et al. · Engineering Applications of Artificial Intelligence · 109
Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system
2023 · Hamid Shakibi, Afshar Shokri, et al. · Applied Energy · 95
Numerical analysis and optimization of a novel photovoltaic thermal solar unit improved by Nano-PCM as an energy storage media and finned collector
2023 · Hamid Shakibi, Afshar Shokri, et al. · Renewable and Sustainable Energy Reviews · 86
Optimization of a syngas-fueled SOFC-based multigeneration system: Enhanced performance with biomass and gasification agent selection
2024 · Oveis Abedinia, Hamid Shakibi, et al. · Renewable and Sustainable Energy Reviews · 81
Exergoeconomic and optimization study of a solar and wind-driven plant employing machine learning approaches; a case study of Las Vegas city
2022 · Hamid Shakibi, Ehsanolah Assareh, et al. · Journal of Cleaner Production · 73
Optimization of biomass-fueled multigeneration system using SOFC for electricity, hydrogen, and freshwater production
2024 · Afshar Shokri, Hamid Shakibi, et al. · International Journal of Hydrogen Energy · 67
Design and multi-objective optimization of a multi-generation system based on PEM electrolyzer, RO unit, absorption cooling system, and ORC utilizing machine learning approaches; a case study of Australia
2023 · Hamid Shakibi, Mehrdad Yousefi Faal, et al. · Energy · 65
Application of machine learning in evaluating and optimizing the hydrogen production performance of a solar-based electrolyzer system
2023 · Ali Salari, Hamid Shakibi, et al. · Renewable Energy · 55
Optimization of a solar-based PEM methanol/water electrolyzer using machine learning and animal-inspired algorithms
2023 · Ali Salari, Hamid Shakibi, et al. · Energy Conversion and Management · 53
Exergoeconomic appraisement, sensitivity analysis, and multi-objective optimization of a solar-driven generation plant for yielding electricity and cooling load
2022 · Hamid Shakibi, Navid Nedaei, et al. · Process Safety and Environmental Protection · 44
A machine learning approach to optimize the performance of a combined solar chimney-photovoltaic thermal power plant
2023 · Ali Salari, Hamid Shakibi, et al. · Renewable Energy · 32
Thermodynamic, environmental, and optimization of a new power generation system driven by a gas turbine cycle
2020 · Bo Zhang, Yuanxiang Chen, et al. · Energy Reports · 31
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Parametric analysis of a PCM-based heat sink for electronic device thermal management
2023 · Zahra Khadem, Ali Salari, et al. · Journal of Energy Storage · 27
Optimization assessment and performance analysis of an ingenious hybrid parabolic trough collector: A machine learning approach
2023 · Ali Salari, Hamid Shakibi, et al. · Applied Energy · 27
Predicting the performance of a heat sink utilized with an energy storage unit using machine learning approach
2024 · Ali Salari, Rojin Ahmadi, et al. · Journal of Energy Storage · 12
Enhancing the thermal performance of an electronic chipset using an innovative cooling system: Insights from machine learning models
2024 · Hamid Shakibi, Sepideh Rezayani, et al. · International Communications in Heat and Mass Transfer · 8
Works count: 20
Citation count: 1,327
H-index: 17
I10-index: 18
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