An Advanced Generative Deep Learning Framework for Probabilistic Spatio-temporal Wind Power Forecasting

Jalali, S M J; Khodayar, M; Khosravi, Abbas; Osório, G J; Nahavandi, Saeid; Catalão, J P S

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An Advanced Generative Deep Learning Framework for Probabilistic Spatio-temporal Wind Power Forecasting

conference contribution

posted on 2021-01-01, 00:00 authored by S M J Jalali, M Khodayar, Abbas KhosraviAbbas Khosravi, G J Osório, Saeid Nahavandi, J P S Catalão

An Advanced Generative Deep Learning Framework for Probabilistic Spatio-temporal Wind Power Forecasting

History

Event

IEEE Environment and Electrical Engineering and Industrial and Commercial Power Systems Europe. Conference (2021 : Bari, Italy)

Pagination

1 - 6

Publisher

IEEE

Location

Bari, Italy

Place of publication

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584664

Start date

2021-09-07

End date

2021-09-10

ISBN-13

9781665436120

Publication classification

E1 Full written paper - refereed

Title of proceedings

EEEIC/I&CPS Europe 2021 : Proceedings of the 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe

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Keywords

Science & Technology Technology Engineering, Electrical & Electronic Engineering Deep Learning Probabilistic Forecasting Variational Bayesian Inference Spectral Graph Convolutions Evolutionary Algorithm NETWORK

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File(s) not publicly available

An Advanced Generative Deep Learning Framework for Probabilistic Spatio-temporal Wind Power Forecasting

History

Event

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

ISBN-13

Publication classification

Title of proceedings

Usage metrics

Categories

Keywords

Licence

Exports