Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm
The regression model based on the support vector machine (SVM) is a standard mid-term and long-term load forecasting method. However, the hyperparameters of traditional SVM are challenging to determine, leading to its poor forecasting effect. This paper proposes an improved sparrow search algorithm...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-08-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722004358 |
| _version_ | 1798033009265344512 |
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| author | Jinghua Li Yongsheng Lei Shuhui Yang |
| author_facet | Jinghua Li Yongsheng Lei Shuhui Yang |
| author_sort | Jinghua Li |
| collection | DOAJ |
| description | The regression model based on the support vector machine (SVM) is a standard mid-term and long-term load forecasting method. However, the hyperparameters of traditional SVM are challenging to determine, leading to its poor forecasting effect. This paper proposes an improved sparrow search algorithm (ISSA) to solve the problem of hyperparameter selection of the SVM model and construct the mid-long term load prediction model by ISSA-SVM. This ISSA is enhanced by a new dynamic adaptive t-distribution mutation. Compared to the SSA, the ISSA has better convergence precision, stability and speed, which was verified by the comparative test based on six benchmark functions. The simulation results also show that the ISSA-SVM can effectively improve the prediction accuracy compared with the original SVM, BP neural network, multiple linear regression, etc. |
| first_indexed | 2024-04-11T20:22:16Z |
| format | Article |
| id | doaj.art-018c5c30d87b4529910cb61f8e7dde13 |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T20:22:16Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-018c5c30d87b4529910cb61f8e7dde132022-12-22T04:04:46ZengElsevierEnergy Reports2352-48472022-08-018491497Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithmJinghua Li0Yongsheng Lei1Shuhui Yang2Corresponding author.; School of Electrical Engineering, Guangxi University, Nanning, 530004, ChinaSchool of Electrical Engineering, Guangxi University, Nanning, 530004, ChinaSchool of Electrical Engineering, Guangxi University, Nanning, 530004, ChinaThe regression model based on the support vector machine (SVM) is a standard mid-term and long-term load forecasting method. However, the hyperparameters of traditional SVM are challenging to determine, leading to its poor forecasting effect. This paper proposes an improved sparrow search algorithm (ISSA) to solve the problem of hyperparameter selection of the SVM model and construct the mid-long term load prediction model by ISSA-SVM. This ISSA is enhanced by a new dynamic adaptive t-distribution mutation. Compared to the SSA, the ISSA has better convergence precision, stability and speed, which was verified by the comparative test based on six benchmark functions. The simulation results also show that the ISSA-SVM can effectively improve the prediction accuracy compared with the original SVM, BP neural network, multiple linear regression, etc.http://www.sciencedirect.com/science/article/pii/S2352484722004358Mid-long term load forecastingSupport vector machineDynamic adaptiveT-distribution mutationImproved sparrow search algorithm |
| spellingShingle | Jinghua Li Yongsheng Lei Shuhui Yang Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm Energy Reports Mid-long term load forecasting Support vector machine Dynamic adaptive T-distribution mutation Improved sparrow search algorithm |
| title | Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm |
| title_full | Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm |
| title_fullStr | Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm |
| title_full_unstemmed | Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm |
| title_short | Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm |
| title_sort | mid long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm |
| topic | Mid-long term load forecasting Support vector machine Dynamic adaptive T-distribution mutation Improved sparrow search algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722004358 |
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