Short-term electricity demand forecasting in Sri Lanka using statistical and deep learning models
Department of Electronics and Computer Engineering, Institute of Engineering – Pulchowk Campus. Tribhuvan University, Nepal; R.K. Shiwakoti; P. Limcharoen; Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Thailand; D.N.L.S. Uduwage; Department of Building Economics, University of Moratuwa, Sri Lanka
- Published
- Publisher
- Department of Building Economics
- Journal / collection
- 13th World Construction Symposium - 2025
- Research area
- AI & compute
- Source type
- Conference paper
- DOI
- 10.31705/wcs.2025.94
The original publisher provides the full text and its access options.
Cite this source
Department of Electronics and Computer Engineering, Institute of Engineering – Pulchowk Campus. Tribhuvan University, Nepal; R.K. Shiwakoti; P. Limcharoen; Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Thailand; D.N.L.S. Uduwage; Department of Building Economics, University of Moratuwa, Sri Lanka. Short-term electricity demand forecasting in Sri Lanka using statistical and deep learning models. 13th World Construction Symposium - 2025. 2025. https://doi.org/10.31705/wcs.2025.94