Hokmabad, H. N., Husev, O., Vinnikov, D., Belikov, J., Petlenkov, E.

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

TTÜ department

elektroenergeetika ja mehhatroonika instituut

tarkvarateaduse instituut

arvutisüsteemide instituut

language

inglise

Uurimisrühm

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