A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
Joint Authors
Wu, Lizhen
Kong, Chun
Hao, Xiaohong
Chen, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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 diverse, and most of the STLF methods cannot well handle such a huge, complex, and diverse data.
For better accuracy of STLF, a GRU-CNN hybrid neural network model which combines the gated recurrent unit (GRU) and convolutional neural networks (CNN) was proposed; the feature vector of time sequence data is extracted by the GRU module, and the feature vector of other high-dimensional data is extracted by the CNN module.
The proposed model was tested in a real-world experiment, and the mean absolute percentage error (MAPE) and the root mean square error (RMSE) of the GRU-CNN model are the lowest among BPNN, GRU, and CNN forecasting methods; the proposed GRU-CNN model can more fully use data and achieve more accurate short-term load forecasting.
American Psychological Association (APA)
Wu, Lizhen& Kong, Chun& Hao, Xiaohong& Chen, Wei. 2020. A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193232
Modern Language Association (MLA)
Wu, Lizhen…[et al.]. A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1193232
American Medical Association (AMA)
Wu, Lizhen& Kong, Chun& Hao, Xiaohong& Chen, Wei. A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1193232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193232