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Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM framework

author
statement of authorship
Hossein Nourollahi Hokmabad, Oleksandr Husev, Dmitri Vinnikov, Juri Belikov, Eduard Petlenkov
source
publisher
year of publication
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
ISBN
979-8-3503-9678-2
notes
Bibliogr.:
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
solar power forecasting
numerical weather prediction
LightGBM
LSTM
long short-term memory (LSTM)
boosting ensemble method
Reserch Group
Centre for intelligent systems
Power electronics group
Hokmabad, H. N., Husev, O., Vinnikov, D., Belikov, J., Petlenkov, E. Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM framework // IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings. : IEEE, 2023. 5 p. https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090