Machine learning and deep learning techniques for residential load forecasting : a comparative analysis
author
statement of authorship
Noman Shabbir, Lauri Kütt, Hadi A. Raja, Roya Ahmadiahangar, Argo Rosin, Oleksandr Husev
publisher
year of publication
pages
p. 1-5
conference name, date
IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 15-17 November 2021
conference location
Riga, Latvia
ISBN
978-1-6654-3804-9
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
classifier
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.