A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting
Electrical load forecasting is important to ensuring power systems are operated both economically and safely. However, accurately forecasting load is difficult because of variability and frequency aliasing. To eliminate frequency aliasing, some methods set parameters that depend on experiences. The...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2023-08-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1514.pdf |
| _version_ | 1827876674489810944 |
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| author | Chun-Hua Wang Wei-Qin Li |
| author_facet | Chun-Hua Wang Wei-Qin Li |
| author_sort | Chun-Hua Wang |
| collection | DOAJ |
| description | Electrical load forecasting is important to ensuring power systems are operated both economically and safely. However, accurately forecasting load is difficult because of variability and frequency aliasing. To eliminate frequency aliasing, some methods set parameters that depend on experiences. The present study proposes an adaptive hybrid model of modal decomposition and gated recurrent units (GRU) to reduce frequency aliasing and series randomness. This model uses average sample entropy and mutual correlation to jointly determine the modal number in the decomposition. Random adjustment parameters were introduced to the Adam algorithm to improve training speed. To assess the applicability and accuracy of the proposed hybrid model, it was compared with some state of the art forecasting methods. The results, which were validated by actual data sets from Shaanxi province, China, show that the proposed model had a higher accuracy and better reliability compared to the other forecasting methods. |
| first_indexed | 2024-03-12T17:23:42Z |
| format | Article |
| id | doaj.art-adf28e113ad946f989f77f961906bfe8 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-12T17:23:42Z |
| publishDate | 2023-08-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-adf28e113ad946f989f77f961906bfe82023-08-05T15:05:19ZengPeerJ Inc.PeerJ Computer Science2376-59922023-08-019e151410.7717/peerj-cs.1514A hybrid model of modal decomposition and gated recurrent units for short-term load forecastingChun-Hua Wang0Wei-Qin Li1School of Electronic Engineering, Xi’an Aeronautical Institute, Xi’an, Shaanxi, ChinaSchool of Automation and Information Engineering, Xi’an University of Technology, Xi’an, Shaanxi, ChinaElectrical load forecasting is important to ensuring power systems are operated both economically and safely. However, accurately forecasting load is difficult because of variability and frequency aliasing. To eliminate frequency aliasing, some methods set parameters that depend on experiences. The present study proposes an adaptive hybrid model of modal decomposition and gated recurrent units (GRU) to reduce frequency aliasing and series randomness. This model uses average sample entropy and mutual correlation to jointly determine the modal number in the decomposition. Random adjustment parameters were introduced to the Adam algorithm to improve training speed. To assess the applicability and accuracy of the proposed hybrid model, it was compared with some state of the art forecasting methods. The results, which were validated by actual data sets from Shaanxi province, China, show that the proposed model had a higher accuracy and better reliability compared to the other forecasting methods.https://peerj.com/articles/cs-1514.pdfGated recurrent unitModal decompositionAverage sample entropyCorrelation numberLoad forecasting |
| spellingShingle | Chun-Hua Wang Wei-Qin Li A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting PeerJ Computer Science Gated recurrent unit Modal decomposition Average sample entropy Correlation number Load forecasting |
| title | A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting |
| title_full | A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting |
| title_fullStr | A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting |
| title_full_unstemmed | A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting |
| title_short | A hybrid model of modal decomposition and gated recurrent units for short-term load forecasting |
| title_sort | hybrid model of modal decomposition and gated recurrent units for short term load forecasting |
| topic | Gated recurrent unit Modal decomposition Average sample entropy Correlation number Load forecasting |
| url | https://peerj.com/articles/cs-1514.pdf |
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