XGBoost based day ahead solar energy generation forecasting using trends and periodicity features in historical and weather data
statement of authorship
Noman Shabbir, Kamran Daniel, Argo Rosin, Hadi Ashraf Raja, Muhammad Jawad, Joao Martins
source
2025 IEEE XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
publisher
year of publication
pages
6 p
conference name, date
XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON 2025), August 20-22, 2025
conference location
Arequipa, Peru
ISBN
979-8-3315-9993-5
scientific publication
teaduspublikatsioon
TalTech department
language
English
classifier
Shabbir, N., Daniel, K., Rosin, A., Raja, H. A,, Jawad, M., Martins, J. XGBoost based day ahead solar energy generation forecasting using trends and periodicity features in historical and weather data // 2025 IEEE XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON). : IEEE, 2025. 6 p.