Data Science and Big Data in Energy Forecasting

Data Science and Big Data in Energy Forecasting

This editorial summarizes the performance of the special issue entitled <i>Data Science and Big Data in Energy Forecasting</i>, which was published at MDPI&#8217;s Energies journal. The special issue took place in 2017 and accepted a total of 13 papers from 7 different countries. Ele...

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Bibliographic Details
Main Authors: Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
energy
time series
forecasting
data mining
big data
Online Access:https://www.mdpi.com/1996-1073/11/11/3224
Description
Summary:This editorial summarizes the performance of the special issue entitled <i>Data Science and Big Data in Energy Forecasting</i>, which was published at MDPI&#8217;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.
ISSN:1996-1073

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