Open Access

ARTICLE

Hybrid Deep Learning Enabled Load Prediction for Energy Storage Systems

Firas Abedi¹, Hayder M. A. Ghanimi², Mohammed A. M. Sadeeq³, Ahmed Alkhayyat^4,*, Zahraa H. Kareem⁵, Sarmad Nozad Mahmood⁶, Ali Hashim Abbas⁷, Ali S. Abosinnee⁸, Waleed Khaild Al-Azzawi⁹, Mustafa Musa Jaber^10,11, Mohammed Dauwed¹²

1 Department of Mathematics, College of Education, Al-Zahraa University for Women, Karbala, Iraq
2 Biomedical Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq
3 ITM Department, Technical College of Administration, Duhok Polytechnic University, Duhok, Iraq
4 College of Technical Engineering, The Islamic University, Najaf, Iraq
5 Department of Medical Instrumentation Techniques Engineering, Al-Mustaqbal University College, Hillah, 51001, Iraq
6 Computer Technology Engineering, College of Engineering Technology, Al-Kitab University, Kirkuk, 36013, Iraq
7 College of Information Technology, Imam Ja’afar Al-Sadiq University, Al-Muthanna, 66002, Iraq
8 Altoosi University College, Najaf, Iraq
9 Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Bagdad, Iraq
10 Department of Medical Instruments Engineering Techniques, Al-Turath University College, Baghdad, 10021, Iraq
11 Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, 10021, Iraq
12 Department of Medical Instrumentations Techniques Engineering, Dijlah University College, Baghdad, Iraq

* Corresponding Author: Ahmed Alkhayyat. Email: