Abstract
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.
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Martínez-Álvarez, F., Troncoso, A., & Riquelme, J. C. (2017, June 1). Recent advances in energy time series forecasting. Energies. MDPI AG. https://doi.org/10.3390/en10060809
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