Liu, Y., Liang, Z., Li, X., Bakeer, A.

prindi

Generative adversarial network and CNN-LSTM based short-term power load forecasting

autor

Liu, Y.

Liang, Z.

Li, X.

Bakeer, Abualkasim Ahmed Ali

vastutusandmed

Yushan Liu, Zhouchi Liang, Xiao Li, Abualkasim Bakeer

allikas

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

kirjastus/väljaandja

IEEE

ilmumisaasta

2023

konverentsi nimetus, aeg

2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), 14-16 June 2023

konverentsi toimumispaik

Tallinn, Estonia

leitav

https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473

märksõna

prognoosmudelid

tehisnärvivõrgud

lühiajaline mälu

prognostika

aegridade analüüs

võtmesõna

Generative Adversarial Network (GaN)

convolutional neural networks (CNNa)

long short-term memory (LSTM)

load forecasting

time series

ISSN

2166-9546

ISBN

979-8-3503-0004-8

märkused

Bibliogr.: 11 ref

teaduspublikatsioon

klassifikaator

3.1

TTÜ struktuuriüksus

elektroenergeetika ja mehhatroonika instituut

keel

inglise

Uurimisrühm

Jõuelektroonika uurimisrühm

Liu, Y., Liang, Z., Li, X., Bakeer, A. Generative adversarial network and CNN-LSTM based short-term power load forecasting // 2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). : IEEE, 2023. https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473