Foregrounding the Research of Academics in Palestine
Hybrid deep learning models for time series forecasting of solar power
Blank
Palestine Technical College
Salman D.; Direkoglu C.; Kusaf M.; Fahrioglu M.
Salman, Diaa (57369075300); Direkoglu, Cem (13006002500); Kusaf, Mehmet (6507157236); Fahrioglu, Murat (6505782864)
57369075300; 13006002500; 6507157236; 6505782864
2024
Neural Computing and Applications
Hybrid deep learning models for time series forecasting of solar power
36
16
9095
9112
Springer Science and Business Media Deutschland GmbH
Department of Electrical Engineering, College of Engineering and Technology, Palestine Technical University-Kadoorie, Yafa Street, Tulkarm, Palestine; Department of Electrical and Electronics Engineering, Middle East Technical University, Northern Cyprus Campus, 99738 Güzelyurt, Northern Cyprus, Mersin 10, Turkey; Department of Electrical and Electronic Engineering, Cyprus International University, 99258 Nicosia, Northern Cyprus, Mersin 10, Turkey
Salman D., Department of Electrical Engineering, College of Engineering and Technology, Palestine Technical University-Kadoorie, Yafa Street, Tulkarm, Palestine; Direkoglu C., Department of Electrical and Electronics Engineering, Middle East Technical University, Northern Cyprus Campus, 99738 Güzelyurt, Northern Cyprus, Mersin 10, Turkey; Kusaf M., Department of Electrical and Electronic Engineering, Cyprus International University, 99258 Nicosia, Northern Cyprus, Mersin 10, Turkey; Fahrioglu M., Department of Electrical and Electronics Engineering, Middle East Technical University, Northern Cyprus Campus, 99738 Güzelyurt, Northern Cyprus, Mersin 10, Turkey
D. Salman; Department of Electrical Engineering, College of Engineering and Technology, Palestine Technical University-Kadoorie, Tulkarm, Yafa Street, Palestine; email: Deyaa.salman@ptuk.edu.ps
99
10.1007/s00521-024-09558-5
Deep learning; Forecasting; Hybrid models; Solar power; Time series
Forecasting; Learning systems; Long short-term memory; Time series; Convolutional neural network; Deep learning; Energy systems; Hybrid model; Learning models; Memory modeling; Optimizers; Power forecasting; Renewable energies; Times series; Solar energy
