Data Science and Big Data in Energy Forecasting

被引：3

作者：

Martinez-Alvarez, Francisco ^{[1
]}

Troncoso, Alicia ^{[1
]}

Riquelme, Jose C. ^{[2
]}

机构：

[1] Pablo Olavide Univ, Data Sci & Big Data Lab, ES-41013 Seville, Spain

[2] Univ Seville, Dept Comp Sci, ES-41012 Seville, Spain

来源：

ENERGIES | 2018年 / 11卷 / 11期

关键词：

energy; time series; forecasting; data mining; big data;

D O I：

10.3390/en11113224

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

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页数：2

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