Institutional Repository of Coll Elect & Informat Engn
A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model | |
Wu, Lizhen; Kong, Chun; Hao, Xiaohong; Chen, Wei | |
2020-03-21 | |
发表期刊 | MATHEMATICAL PROBLEMS IN ENGINEERING |
ISSN | 1024-123X |
卷号 | 2020 |
摘要 | 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. |
关键词 | Clustering algorithms Complex networks Convolutional neural networks Electric power plant loads Forecasting Mean square error |
DOI | 10.1155/2020/1428104 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[51467009] ; Basic Research Innovation Group Project of Gansu Province[18JR3RA133] |
WOS研究方向 | Engineering ; Mathematics |
WOS类目 | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications |
WOS记录号 | WOS:000522946500001 |
出版者 | HINDAWI LTD |
EI入藏号 | 20201508394962 |
EI主题词 | Recurrent neural networks |
EI分类号 | 722 Computer Systems and Equipment - 903.1 Information Sources and Analysis - 922.2 Mathematical Statistics |
来源库 | WOS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/76639 |
专题 | 电气工程与信息工程学院 |
通讯作者 | Chen, Wei |
作者单位 | Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China |
第一作者单位 | 电气工程与信息工程学院 |
通讯作者单位 | 电气工程与信息工程学院 |
第一作者的第一单位 | 电气工程与信息工程学院 |
推荐引用方式 GB/T 7714 | Wu, Lizhen,Kong, Chun,Hao, Xiaohong,et al. A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2020,2020. |
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,2020. |
MLA | Wu, Lizhen,et al."A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model".MATHEMATICAL PROBLEMS IN ENGINEERING 2020(2020). |
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Wu-2020-A Short-Term(1890KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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