1. M. Hambali and S. Yakub, Artificial Neural Network Approach For Electric Load Forecasting In Power Distribution Company,, Nov. (2017).
2. Clustering Time Related Data: A Regression Tree Approach., http://pubs.sciepub.com/ajams/10/1/4/index.html (accessed Aug. 21, 2022).
3. Electrical Load Forecasting Using Fuzzy System." https://www.scirp.org/ (S(lz5mqp453edsnp55rrgjct55))/journal/paperinformation.aspx,paperid=94904 (accessed Aug. 21, 2022).
4. A. Das and A. Sengupta, Forecasting Electrical Energy Consumption using Artificial Neural Networks,, Int. J. Eng. Res., vol. 8, no. 11, p.8.
5. M. S. AL-Musaylh, R. C. Deo, J. F. Adamowski, and Y. Li, Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in southeast Queensland, Australia,, Renew. Sustain. Energy Rev., vol. 113, p.109293, Oct. 2019,.