Machine learning and deep learning techniques for residential load forecasting : a comparative analysis

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
classifier
3.1
language
inglise
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. https://doi.org/10.1109/RTUCON53541.2021.9711741