1. Abu Al-Foul, B. M. (2012). Forecasting energy demand in Jordan using artificial neural networks. Topics in Middle Eastern and North African Economies, 14, 473.
2. Achour, H., & Belloumi, M. (2016). Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method. Transport Policy, 52, 64–71.
3. Adedeji, B. P. (2023). Electric vehicles survey and a multifunctional artificial neural network for predicting energy consumption in all-electric vehicles. Results in Engineering, 19, 101283.
4. Ala, A., Deveci, M., Bani, E. A., & Sadeghi, A. H. (2024). Dynamic capacitated facility location problem in mobile renewable energy charging stations under sustainability consideration. Sustainable Computing: Informatics and Systems, 41, 100954.
5. Al-Ghandoor, A. J. J. O., Jaber, J. O., Al-Hinti, I., & Mansour, I. M. (2009). Residential past and future energy consumption: Potential savings and environmental impact. Renewable and Sustainable Energy Reviews, 13(6–7), 1262–1274.