1. Data Science and Big Data in Energy Forecasting
- Author
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Martínez Álvarez, Francisco, Troncoso Lora, Alicia, Riquelme Santos, José Cristóbal, Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Sevilla. TIC-254: Data Science & Big Data Lab, Ministerio de Economía y Competitividad (MINECO). España, and Ministerio de Economía. España
- Subjects
big data ,forecasting ,data mining ,time series ,energy - Abstract
This editorial summarizes the performance of the special issue entitled Data Science and Big Data in Energy Forecasting, which was published at MDPI’s Energies journal. The special issue took place in 2017 and accepted a total of 13 papers from 7 different countries. Electrical, solar and wind energy forecasting were the most analyzed topics, introducing new methods with applications of utmost relevance. Ministerio de Competitividad TIN2014-55894-C2-R Ministerio de Competitividad TIN2017-88209-C2-R
- Published
- 2018