A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

One of the most important research topics in smart grid technology is load forecasting, because accuracy of load forecasting highly influences reliability of the smart grid systems. In the past, load forecasting was obtained by traditional analysis techniques such as time series analysis and linear...

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Bibliographic Details
Main Authors:	Ping-Huan Kuo, Chiou-Jye Huang
Format:	Article
Language:	English
Published:	MDPI AG 2018-01-01
Series:	Energies
Subjects:	artificial intelligence convolutional neural network deep neural networks short-term load forecasting
Online Access:	http://www.mdpi.com/1996-1073/11/1/213

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