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Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method

Muhammad Irfan1, Ali Raza2,*, Faisal Althobiani3, Nasir Ayub4,5, Muhammad Idrees6, Zain Ali7, Kashif Rizwan4, Abdullah Saeed Alwadie1, Saleh Mohammed Ghonaim3, Hesham Abdushkour3, Saifur Rahman1, Omar Alshorman1, Samar Alqhtani8

1 Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran, 61441, Saudi Arabia
2 Department of Computer Science, COMSATS University Islamabad, Wah Campus, 22060, Pakistan
3 Faculty of Maritime Studies, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
4 Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Islamabad, 44000, Pakistan
5 School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, 44000, Pakistan
6 Department of Computer Science and Engineering, University of Engineering and Technology, Narowal Campus, Lahore, 54000, Pakistan
7 Department of Electrical Engineering, HITEC University, Taxila, 47080, Pakistan
8 College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia

* Corresponding Author: Ali Raza. Email: email

TSP_CMC_25863.pdf

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