Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM framework
author
Hokmabad, Hossein Nourollahi
Husev, Oleksandr
Vinnikov, Dmitri
Belikov, Juri
Petlenkov, Eduard
statement of authorship
Hossein Nourollahi Hokmabad, Oleksandr Husev, Dmitri Vinnikov, Juri Belikov, Eduard Petlenkov
source
IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings
publisher
IEEE
year of publication
2023
pages
5 p
conference name, date
12th ISGT Europe 2023 : IEEE PES Innovative Smart Grid Technologies Conference Europe : Powering solutions for decarbonized and resilient future smartgrids, October 23-26, 2023
conference location
Grenoble, France
url
https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090
subject term
päikeseenergia
fotogalvaanika
prognostika
tehisõpe
keyword
solar power forecasting
numerical weather prediction
LightGBM
LSTM
long short-term memory (LSTM)
boosting ensemble method
ISBN
979-8-3503-9678-2
notes
Bibliogr.:
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
elektroenergeetika ja mehhatroonika instituut
tarkvarateaduse instituut
arvutisüsteemide instituut
language
inglise
Reserch Group
Centre for intelligent systems
Power electronics group