Enhancing smart grid electricity prediction with the fusion of intelligent modeling and XAI integration
School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan; Jamshaid Iqbal Janjua; Al-Khawarizmi Institute of Computer Science (KICS), University of Engineering and Technology, Lahore, Pakistan; Reyaz Ahmad; Department of General Education, Skyline University College, University City Sharjah, Sharjah, United Arab Emirates; Sagheer Abbas; Department of Computer Science, Bahria University, Lahore, Pakistan; Abdul Salam Mohammed; Department of General Education, Skyline University College, University City Sharjah, Sharjah, United Arab Emirates; Muhammad Saleem Khan; School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan; Ali Daud; Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates; Tahir Abbas; Department of Computer Science, TIMES Institute, Multan, Pakistan; Muhammad Adnan Khan; School of Computing, Skyline University College, University City Sharjah, Sharjah, United Arab Emirates; Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, Lahore, Pakistan; Department of Software, Faculty of Artificial Intelligence and Software, Gachon University, Seongnam, South Korea
- Published
- Publisher
- International Journal of Advanced and Applied Sciences
- Journal / collection
- International Journal of ADVANCED AND APPLIED SCIENCES
- Research area
- Energy & infrastructure
- Source type
- Journal article
- DOI
- 10.21833/ijaas.2024.05.025
The original publisher provides the full text and its access options.
Cite this source
School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan; Jamshaid Iqbal Janjua; Al-Khawarizmi Institute of Computer Science (KICS), University of Engineering and Technology, Lahore, Pakistan; Reyaz Ahmad; Department of General Education, Skyline University College, University City Sharjah, Sharjah, United Arab Emirates; Sagheer Abbas; Department of Computer Science, Bahria University, Lahore, Pakistan; Abdul Salam Mohammed; Department of General Education, Skyline University College, University City Sharjah, Sharjah, United Arab Emirates; Muhammad Saleem Khan; School of Computer Science, National College of Business Administration and Economics, Lahore, Pakistan; Ali Daud; Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates; Tahir Abbas; Department of Computer Science, TIMES Institute, Multan, Pakistan; Muhammad Adnan Khan; School of Computing, Skyline University College, University City Sharjah, Sharjah, United Arab Emirates; Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, Lahore, Pakistan; Department of Software, Faculty of Artificial Intelligence and Software, Gachon University, Seongnam, South Korea. Enhancing smart grid electricity prediction with the fusion of intelligent modeling and XAI integration. International Journal of ADVANCED AND APPLIED SCIENCES. 2024-05. https://doi.org/10.21833/ijaas.2024.05.025