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Recent Advances in Energy Time Series Forecasting

Opened Access Recent Advances in Energy Time Series Forecasting

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Autor: Martínez Álvarez, Francisco
Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2017
Publicado en: Energies, 10 (6)
Tipo de documento: Artículo
Resumen: This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 papers from twelve different countries. Electrical, solar, or wind energy forecasting were the most analyzed topics, introducing brand new methods with very sound results.
Cita: Martínez Álvarez, F., Troncoso Lora, A. y Riquelme Santos, J.C. (2017). Recent Advances in Energy Time Series Forecasting. Energies, 10 (6)
Tamaño: 130.5Kb
Formato: PDF

URI: http://hdl.handle.net/11441/64183

DOI: 10.3390/en10060809

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