XGBoost based day ahead solar energy generation forecasting using trends and periodicity features in historical and weather data

vastutusandmed
Noman Shabbir, Kamran Daniel, Argo Rosin, Hadi Ashraf Raja, Muhammad Jawad, Joao Martins
allikas
2025 IEEE XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
kirjastus/väljaandja
ilmumisaasta
leheküljed
6 p
konverentsi nimetus, aeg
XXXII International Conference on Electronics, Electrical Engineering and Computing (INTERCON 2025), August 20-22, 2025
konverentsi toimumispaik
Arequipa, Peru
ISBN
979-8-3315-9993-5
teaduspublikatsioon
teaduspublikatsioon
keel
Inglise
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. https://doi.org/10.1109/INTERCON67304.2025.11244700