A Survey on Data Mining Techniques Applied to Electricity-Related Time Series Forecasting

Author： Martínez-Álvarez Francisco   Troncoso Alicia   Asencio-Cortés Gualberto   Riquelme José C.  

Publisher： MDPI

E-ISSN： 1996-1073|8|11|13162-13193

ISSN： 1996-1073

Source： Energies, Vol.8, Iss.11, 2015-11, pp. : 13162-13193

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting

By Singh Shailendra   Yassine Abdulsalam  

Energies, Vol. 11, Iss. 2, 2018-02 ,pp. : 452-452

MDPI

Access to resources Recommend Favorite

Enhanced Forecasting Approach for Electricity Market Prices and Wind Power Data Series in the Short-Term

By Osório Gerardo J.   Gonçalves Jorge N. D. L.   Lujano-Rojas Juan M.   Catalão João P. S.  

Energies, Vol. 9, Iss. 9, 2016-08 ,pp. : 693-693

MDPI

Access to resources Recommend Favorite

Mid-Term Electricity Market Clearing Price Forecasting with Sparse Data: A Case in Newly-Reformed Yunnan Electricity Market

By Cheng Chuntian   Luo Bin   Miao Shumin   Wu Xinyu  

Energies, Vol. 9, Iss. 10, 2016-10 ,pp. : 804-804

MDPI

Access to resources Recommend Favorite

Application of a Classifier Based on Data Mining Techniques in Water Supply Operation

By Ji Yi   Lei Xiaohui   Cai Siyu   Wang Xu  

Water, Vol. 8, Iss. 12, 2016-12 ,pp. : 599-599

MDPI

Access to resources Recommend Favorite

A New Methodology Based on Imbalanced Classification for Predicting Outliers in Electricity Demand Time Series

By Duque-Pintor Francisco Javier   Fernández-Gómez Manuel Jesús   Troncoso Alicia   Martínez-Álvarez Francisco  

Energies, Vol. 9, Iss. 9, 2016-09 ,pp. : 752-752

MDPI

Access to resources Recommend Favorite