Artículo
Recent Advances in Energy Time Series Forecasting
Autor/es | Martínez Álvarez, Francisco
Troncoso Lora, Alicia Riquelme Santos, José Cristóbal |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2017 |
Fecha de depósito | 2017-09-05 |
Publicado en |
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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 ... 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. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | info:eu-repo/grantAgreement/MINECO/TIN2014-55894-C2-R |
Cita | Martínez Álvarez, F., Troncoso Lora, A. y Riquelme Santos, J.C. (2017). Recent Advances in Energy Time Series Forecasting. Energies, 10 (6) |
Ficheros | Tamaño | Formato | Ver | Descripción |
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energies-10-00809.pdf | 130.5Kb | [PDF] | Ver/ | |