Performance assessment of SARIMA, MLP and LSTM models for short-term solar irradiance prediction under different climates in Morocco-Reference-Cited by-同舟云学术

Performance assessment of SARIMA, MLP and LSTM models for short-term solar irradiance prediction under different climates in Morocco

Published:2022-10-11 Issue:1 Volume:44 Page:334-350
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

El Alani Omaima¹²^ORCID,Hajjaj Charaf³,Ghennioui Hicham¹,Ghennioui Abdellatif²,Blanc Philippe⁴,Saint-Drenan Yves-Marie⁴,El Monady Mohammed⁵

Affiliation:

1. Laboratory of Signals, Systems and Components, Sidi Mohamed Ben Abdellah University: Faculty of Science and Technology of Fez, Fez, Morocco

2. Green Energy Park (IRESEN, UM6P), Benguerir, Morocco

3. Laboratory of Applied Sciences for the Environment and Sustainable Development, Higher School of Technology of Essaouira, Cadi Ayyad University, Essaouira, Morocco

4. O.I.E. Centre Observation, Impacts, Energy, MINES ParisTech, PSL – Research University Sophia Antipolis CEDEX, France

5. ENSAM-Casablanca, University Hassan II, Casablanca, Morocco

Funder

Green Energy Park

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2022.2127889

Reference80 articles.

1. “Global Forecast System (GFS) | National Centers for Environmental Information (NCEI) Formerly Known as National Climatic Data Center (NCDC).” 2021. https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs.

2. “Morocco Renewable Energy Target 2030 – Policies.” 2021. IEA. Accessed May 27. https://www.iea.org/policies/6557-morocco-renewable-energy-target-2030.

3. State-of-the-art in artificial neural network applications: A survey

4. Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production

5. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

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