A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
Short-term load forecasting (STLF) plays a very important role in improving the economy and stability of the power system operation. With the smart meters and smart sensors widely deployed in the power system, a large amount of data was generated but not fully utilized, these data are complex and di...
Main Authors: | Lizhen Wu, Chun Kong, Xiaohong Hao, Wei Chen |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/1428104 |
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