Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
vastutusandmed
Noman Shabbir, Lauri Kütt, Hadi A. Raja, Roya Ahmadiahangar, Argo Rosin, Oleksandr Husev
kirjastus/väljaandja
ilmumisaasta
leheküljed
p. 1-5
konverentsi nimetus, aeg
IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 15-17 November 2021
konverentsi toimumispaik
Riga, Latvia
ISBN
978-1-6654-3804-9
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
klassifikaator
Shabbir, N., Kütt, L., Raja, H. A., Ahmadiahangar, R., Rosin, A., Husev, O. Machine learning and deep learning techniques for residential load forecasting : a comparative analysis // 2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings. : IEEE, 2021. p. 1-5.