PV solar power forecasting based on hybrid MFFNN-ALO-Reference-Cited by-同舟云学术

PV solar power forecasting based on hybrid MFFNN-ALO

Published:2022-03-29 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Conference on Electrical Engineering (ICEENG)
language:
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Author:

Alblawi Adel¹,Said Taghreed²,Talaat M.³,Elkholy M. H.⁴

Affiliation:

1. Shaqra University,College of Engineering,Mechanical Engineering Department,Ar Riyadh,Saudi Arabia

2. Higher Technological Institute,Electrical Engineering Department,10th of Ramadan City,Egypt

3. Shaqra University,College of Engineering,Electrical Engineering Department,Ar Riyadh,Saudi Arabia

4. Zagazig University,Faculty of Engineering,Electrical Power & Machines Department,Zagazig,Egypt,44519

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9781836/9781818/09782040.pdf?arnumber=9782040

Reference27 articles.

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4. Assessment and mapping of solar energy potential using artificial neural network and GIS technology in the Southern part of India;anwar;Int Journal of Renewable Energy,2018

5. Load forecasting based on grasshopper optimization and a multilayer feed-forward neural network using regressive approach

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