EventsThe 4th International Electronic Conference on Applied Sciences
Event submissions
Published
with-doi10.3390/ASEC2023-15228
This submission belongs to the session F. Energy, Environmental and Earth Science of the event The 4th International Electronic Conference on Applied Sciences
Published date
26 Oct, 2023
Academic Editor
author-avatarSimeone Chianese
Citation
Zemouri Nahed, Mezaache Hatem, Chouder Aissa, A Very Short Term Photovoltaic Power Forecasting Model by Deep Learning and the LDA Method Using Weather Multivariate Time Series Inputs, in Proceedings of The 4th International Electronic Conference on Applied Sciences, 27 October–10 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2023-15228
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A Very Short Term Photovoltaic Power Forecasting Model by Deep Learning and the LDA Method Using Weather Multivariate Time Series Inputs

Zemouri Nahed 1
Mezaache Hatem 2
Chouder Aissa 3
1. Department of electronics University of Mohamed Boudiaf Msila
2. Departement of electronic university of msila
3. Electrical Engineering Laboratory (LGE), University Mohamed Boudiaf of M’sila
Abstract
Keywords
Very-short-term
solar power forecasting
deep learning
aggregation
weather prediction.