A Comparative Study on Time Series Prediction of Photovoltaic-Power Production Through Classic Statistical Techniques and Short-Term Memory Networks

A Comparative Study on Time Series Prediction of Photovoltaic-Power Production Through Classic Statistical Techniques and Short-Term Memory Networks

The inherent variability in the power production of renewable energy sources (RES) limits the effectiveness of energy management systems (EMS) since optimal dispatch on power networks highly depends on the accuracy of predictors associated with the energy output and load demand. Consequently, power...

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Autors principals: Minchala Avila, Luis Ismael, Duran Nicholls, Juan Francisco
Format: ARTÍCULO DE CONFERENCIA
Idioma:es_ES
Publicat: IEEE 2024
Matèries:
Statistical methods
Forecasting
LSTM
Photovoltaic power generation
Accés en línia:http://dspace.ucuenca.edu.ec/handle/123456789/44125
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177461803&doi=10.1109%2fCoDIT58514.2023.10284303&partnerID=40&md5=2735e7893af85e561ae3e1df8573673a

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http://dspace.ucuenca.edu.ec/handle/123456789/44125
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177461803&doi=10.1109%2fCoDIT58514.2023.10284303&partnerID=40&md5=2735e7893af85e561ae3e1df8573673a

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