Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks

Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks

Short-term load forecasting is an important task for the planning and reliable operation of power grids. High-accuracy forecasting for individual customers helps to make arrangements for generation and reduce electricity costs. Artificial intelligent methods have been applied to short-term load fore...

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Bibliographic Details
Main Authors: Yixing Wang, Meiqin Liu, Zhejing Bao, Senlin Zhang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Energies
Subjects:
short-term load forecasting
artificial intelligence
gated recurrent unit
recurrent neural network
power grid
Online Access:http://www.mdpi.com/1996-1073/11/5/1138

Internet

http://www.mdpi.com/1996-1073/11/5/1138

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