Recent Advances in Energy Time Series Forecasting
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 forecastin...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1996-1073/10/6/809 |
| _version_ | 1828120210389860352 |
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| author | Francisco Martínez-Álvarez Alicia Troncoso José C. Riquelme |
| author_facet | Francisco Martínez-Álvarez Alicia Troncoso José C. Riquelme |
| author_sort | Francisco Martínez-Álvarez |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T14:00:24Z |
| format | Article |
| id | doaj.art-5d30c6b4df79453894e00646971eced3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T14:00:24Z |
| publishDate | 2017-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5d30c6b4df79453894e00646971eced32022-12-22T04:20:08ZengMDPI AGEnergies1996-10732017-06-0110680910.3390/en10060809en10060809Recent Advances in Energy Time Series ForecastingFrancisco Martínez-Álvarez0Alicia Troncoso1José C. Riquelme2Department of Computer Science, Pablo de Olavide University, ES-41013 Seville, SpainDepartment of Computer Science, Pablo de Olavide University, ES-41013 Seville, SpainDepartment of Computer Science, University of Seville, 41012 Seville, SpainThis 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.http://www.mdpi.com/1996-1073/10/6/809energytime seriesforecasting |
| spellingShingle | Francisco Martínez-Álvarez Alicia Troncoso José C. Riquelme Recent Advances in Energy Time Series Forecasting Energies energy time series forecasting |
| title | Recent Advances in Energy Time Series Forecasting |
| title_full | Recent Advances in Energy Time Series Forecasting |
| title_fullStr | Recent Advances in Energy Time Series Forecasting |
| title_full_unstemmed | Recent Advances in Energy Time Series Forecasting |
| title_short | Recent Advances in Energy Time Series Forecasting |
| title_sort | recent advances in energy time series forecasting |
| topic | energy time series forecasting |
| url | http://www.mdpi.com/1996-1073/10/6/809 |
| work_keys_str_mv | AT franciscomartinezalvarez recentadvancesinenergytimeseriesforecasting AT aliciatroncoso recentadvancesinenergytimeseriesforecasting AT josecriquelme recentadvancesinenergytimeseriesforecasting |