GMDH-Based Semi-Supervised Feature Selection for Electricity Load Classification Forecasting

GMDH-Based Semi-Supervised Feature Selection for Electricity Load Classification Forecasting

With the development of smart power grids, communication network technology and sensor technology, there has been an exponential growth in complex electricity load data. Irregular electricity load fluctuations caused by the weather and holiday factors disrupt the daily operation of the power compani...

Full description

Bibliographic Details
Main Authors: Lintao Yang, Honggeng Yang, Hongyan Yang, Haitao Liu
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sustainability
Subjects:
peak load
classification forecasting
group method of data handling
semi-supervised learning
Online Access:http://www.mdpi.com/2071-1050/10/1/217

Internet

http://www.mdpi.com/2071-1050/10/1/217

Similar Items