Short-Term Load Forecasting Using a Novel Deep Learning Framework

Short-Term Load Forecasting Using a Novel Deep Learning Framework

Short-term load forecasting is the basis of power system operation and analysis. In recent years, the use of a deep belief network (DBN) for short-term load forecasting has become increasingly popular. In this study, a novel deep-learning framework based on a restricted Boltzmann machine (RBM) and a...

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Bibliographic Details
Main Authors: Xiaoyu Zhang, Rui Wang, Tao Zhang, Yajie Liu, Yabing Zha
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Energies
Subjects:
short-term load forecasting
a novel deep learning framework
deep belief network
restricted Boltzmann machine
Elman neural network
Online Access:http://www.mdpi.com/1996-1073/11/6/1554

Internet

http://www.mdpi.com/1996-1073/11/6/1554

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