Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU.

Zameer, Aneela; Jaffar, Fatima; Shahid, Farah; Muneeb, Muhammad; Khan, Rizwan; Nasir, Rubina

Zameer, Aneela; Jaffar, Fatima; Shahid, Farah; Muneeb, Muhammad; Khan, Rizwan; Nasir, Rubina.

Afiliación

Zameer A; Department of Computer & Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
Jaffar F; Department of Computer & Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
Shahid F; Department of Computer Science and Technology, Zhejiang Normal University, Jinhua, China.
Muneeb M; Department of Mathematics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Khan R; Department of Computer Science and Technology, Zhejiang Normal University, Jinhua, China.
Nasir R; Department of Physics, AIR University, Islamabad, Pakistan.

PLoS One ; 18(10): e0285410, 2023.

Article en En | MEDLINE | ID: mdl-37792739

Asunto(s)

Energía Solar; Inteligencia Artificial; Aprendizaje Automático; Tiempo (Meteorología); Suministros de Energía Eléctrica; Predicción

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Energía Solar Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Pakistán

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