Forecasting PV energy generation using transformer-based architectures: A comparative study of Lag-Llama, TFT, and DeepAR
author
Amjad, Furqan
Korõtko, Tarmo
Rosin, Argo
statement of authorship
Furqan Amjad, Tarmo Korotko, Argo Rosin
source
2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
publisher
IEEE
year of publication
2024
pages
6 p
conference name, date
2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 10-12 October 2024
conference location
Riga, Latvia
url
https://doi.org/10.1109/RTUCON62997.2024.10830763
subject term
taastuvenergia
päikeseenergia
aegridade analüüs
prognostika
keyword
photovoltaic energy forecasting
transformer-based models
temporal fusion transformer
Lag-Llama
DeepAR
renewable energy
time series analysis
ISBN
979-8-3503-6576-4
notes
Bibliogr.: 19 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise