Grupo de Sistemas inteligentes ; Intelligent Systems Group
ISG
King Abdulaziz University
Jeddah, Arabia SaudíPublications in collaboration with researchers from King Abdulaziz University (14)
2023
2022
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A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid
IEEE Access, Vol. 10, pp. 48419-48433
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A Short-Term Load Forecasting Model Based on Self-Adaptive Momentum Factor and Wavelet Neural Network in Smart Grid
IEEE Access, Vol. 10, pp. 77587-77602
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Hyperparameter optimization of support vector machine using adaptive differential evolution for electricity load forecasting
Energy Reports, Vol. 8, pp. 13333-13352
2021
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(DA-DOPF): A Day-Ahead Dynamic Optimal Power Flow With Renewable Energy Integration in Smart Grids
Frontiers in Energy Research, Vol. 9
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A Joint Optimization Model for Energy and Reserve Capacity Scheduling with the Integration of Variable Energy Resources
IEEE Access, Vol. 9, pp. 75252-75264
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An incentive based dynamic pricing in smart grid: A customer’s perspective
Sustainability (Switzerland), Vol. 13, Núm. 11
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Mining software architecture knowledge: Classifying stack overflow posts using machine learning
Concurrency and Computation: Practice and Experience, Vol. 33, Núm. 16
2020
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A novel load scheduling mechanism using artificial neural network based customer profiles in smart grid
Energies, Vol. 13, Núm. 5
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A residential load scheduling with the integration of on-site PV and energy storage systems in micro-grid
Sustainability (Switzerland), Vol. 12, Núm. 1
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An Optimal Scheduling and Distributed Pricing Mechanism for Multi-Region Electric Vehicle Charging in Smart Grid
IEEE Access, Vol. 8, pp. 40298-40312
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Dynamic Pricing Mechanism with the Integration of Renewable Energy Source in Smart Grid
IEEE Access, Vol. 8, pp. 16876-16892
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Multi-Objective Optimal Power Flow with Integration of Renewable Energy Sources Using Fuzzy Membership Function
IEEE Access, Vol. 8, pp. 143185-143200
2013
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E-HORM: An energy-efficient hole removing mechanism in Wireless Sensor Networks
Canadian Conference on Electrical and Computer Engineering