A Short-Term Load Forecasting Method Based on CNN-BiGRU-NN Model

A Short-Term Load Forecasting Method Based on CNN-BiGRU-NN Model

In order to fully mine the effective information contained in a large number of collected data and improve the accuracy of short-term load forecasting, a short-term load forecasting method is proposed based on a hybrid model of convolutional neural network (CNN), bidirectional gated recurrent unit (...

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Bibliographic Details
Main Authors: Youjun ZENG, Xianyong XIAO, Fangwei XU, Lin ZHENG
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2021-09-01
Series:Zhongguo dianli
Subjects:
power system
short-term load forecasting
convolutional neural network
bidirectional gated recurrent unit
convolutional neural network-bidirectional gated recurrent unit neural network hybrid model
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202003035
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