Short-term solar radiation forecasting using a new seasonal clustering technique and artificial neural network-Reference-Cited by-同舟云学术

Short-term solar radiation forecasting using a new seasonal clustering technique and artificial neural network

Published:2021-07-05 Issue:4 Volume:19 Page:424-434
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

Ali-Ou-Salah Hamza¹^ORCID,Oukarfi Benyounes¹^ORCID,Mouhaydine Tlemcani²^ORCID

Affiliation:

1. Laboratory of Physic of Condensed Matter & Renewable Energy, Faculty of Sciences and Techniques, Hassan II Casablanca University, Mohammedia, Morocco

2. Department of Mechatronics Engineering, Institute of Earth Sciences, School of Sciences and Technology, University of Évora, Évora, Portugal

Funder

National Centre for Scientific and Technical Research, Morocco

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15435075.2021.1946819

Reference31 articles.

1. Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

2. Neural Network Approach for Global Solar Irradiance Prediction at Extremely Short-Time-Intervals Using Particle Swarm Optimization Algorithm

3. A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm

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