RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model
This paper investigates smart grid energy supply forecasting and economic operation management, with a focus on building an efficient energy supply prediction model. Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to constru...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1273947/full |
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| _version_ | 1841556320014041088 |
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| author | Lingling Cui Jiacheng Liao |
| author_facet | Lingling Cui Jiacheng Liao |
| author_sort | Lingling Cui |
| collection | DOAJ |
| description | This paper investigates smart grid energy supply forecasting and economic operation management, with a focus on building an efficient energy supply prediction model. Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to construct a comprehensive and efficient prediction model, aiming to enhance the reliability, sustainability, and cost-effectiveness of the power system. The research process includes data preprocessing, model training, and model evaluation. Data preprocessing ensures data quality and suitability. In the model training phase, the Snake Optimizer (SO) algorithm-optimized Bigru-Attention model combines time series, spatial features, and optimization features to build a comprehensive prediction model. The model evaluation phase calculates metrics such as prediction error, accuracy, and stability, and also examines the model’s training time, inference time, number of parameters, and computational complexity to assess its efficiency and scalability. The contribution of this research lies in proposing the Snake Optimizer (SO) algorithm-optimized Bigru-Attention model and constructing an efficient comprehensive prediction model. The results indicate that the Snake Optimizer (SO) algorithm exhibits significant advantages and contributes to enhancing the effectiveness of the experimental process. The model holds promising applications in the field of energy supply forecasting and provides robust support for the stable operation and optimized economic management of smart grids. Moreover, this study has positive social and economic implications for the development of smart grids and sustainable energy utilization. |
| format | Article |
| id | doaj-art-efd1dc2b503e4878af70c8f64cc6a9b7 |
| institution | Kabale University |
| issn | 2296-598X |
| language | English |
| publishDate | 2023-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-efd1dc2b503e4878af70c8f64cc6a9b72025-01-07T10:38:39ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-09-011110.3389/fenrg.2023.12739471273947RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention modelLingling Cui0Jiacheng Liao1School of Politics and Public Administration, Zhengzhou University, Zhengzhou, ChinaSchool of Economics and Management, Hubei Institute of Automobile Technology, Shiyan, ChinaThis paper investigates smart grid energy supply forecasting and economic operation management, with a focus on building an efficient energy supply prediction model. Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to construct a comprehensive and efficient prediction model, aiming to enhance the reliability, sustainability, and cost-effectiveness of the power system. The research process includes data preprocessing, model training, and model evaluation. Data preprocessing ensures data quality and suitability. In the model training phase, the Snake Optimizer (SO) algorithm-optimized Bigru-Attention model combines time series, spatial features, and optimization features to build a comprehensive prediction model. The model evaluation phase calculates metrics such as prediction error, accuracy, and stability, and also examines the model’s training time, inference time, number of parameters, and computational complexity to assess its efficiency and scalability. The contribution of this research lies in proposing the Snake Optimizer (SO) algorithm-optimized Bigru-Attention model and constructing an efficient comprehensive prediction model. The results indicate that the Snake Optimizer (SO) algorithm exhibits significant advantages and contributes to enhancing the effectiveness of the experimental process. The model holds promising applications in the field of energy supply forecasting and provides robust support for the stable operation and optimized economic management of smart grids. Moreover, this study has positive social and economic implications for the development of smart grids and sustainable energy utilization.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1273947/fullsnake optimizerBiGRUattention mechanismintelligent power gridenvironmental issues |
| spellingShingle | Lingling Cui Jiacheng Liao RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model Frontiers in Energy Research snake optimizer BiGRU attention mechanism intelligent power grid environmental issues |
| title | RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model |
| title_full | RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model |
| title_fullStr | RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model |
| title_full_unstemmed | RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model |
| title_short | RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model |
| title_sort | retracted intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with bigur attention model |
| topic | snake optimizer BiGRU attention mechanism intelligent power grid environmental issues |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1273947/full |
| work_keys_str_mv | AT linglingcui retractedintelligentpowergridenergysupplyforecastingandeconomicoperationmanagementusingthesnakeoptimizeralgorithmwithbigurattentionmodel AT jiachengliao retractedintelligentpowergridenergysupplyforecastingandeconomicoperationmanagementusingthesnakeoptimizeralgorithmwithbigurattentionmodel |