Comprehensive evaluation of power transmission and transformation project based on electric power big data
In order to solve the problems of incomplete factors and inaccurate prediction in the current evaluation model of power transmission and transformation project, this paper uses the BP neural network algorithm optimized by simulated annealing genetic algorithm to solve the shortcomings of low trainin...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-09-01
|
| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722007132 |
| _version_ | 1797988692503035904 |
|---|---|
| author | Fei Chen Ke Yang Li Wang Yu Zhang Heng Liu |
| author_facet | Fei Chen Ke Yang Li Wang Yu Zhang Heng Liu |
| author_sort | Fei Chen |
| collection | DOAJ |
| description | In order to solve the problems of incomplete factors and inaccurate prediction in the current evaluation model of power transmission and transformation project, this paper uses the BP neural network algorithm optimized by simulated annealing genetic algorithm to solve the shortcomings of low training efficiency and local convergence value of BP neural network in model prediction. The comparison of experimental results shows that the BP neural network optimized by simulated annealing genetic algorithm proposed in this paper is 23.21% higher than that of BP neural network. |
| first_indexed | 2024-04-11T08:07:05Z |
| format | Article |
| id | doaj.art-93748cfff74040f1ab764f400b7b4b6c |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-11T08:07:05Z |
| publishDate | 2022-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-93748cfff74040f1ab764f400b7b4b6c2022-12-22T04:35:29ZengElsevierEnergy Reports2352-48472022-09-018733741Comprehensive evaluation of power transmission and transformation project based on electric power big dataFei Chen0Ke Yang1Li Wang2Yu Zhang3Heng Liu4Corresponding author.; Power Grid Planning and Research Center of Guizhou Power Grid Co., Ltd., Guizhou, Guiyang 550003, ChinaPower Grid Planning and Research Center of Guizhou Power Grid Co., Ltd., Guizhou, Guiyang 550003, ChinaPower Grid Planning and Research Center of Guizhou Power Grid Co., Ltd., Guizhou, Guiyang 550003, ChinaPower Grid Planning and Research Center of Guizhou Power Grid Co., Ltd., Guizhou, Guiyang 550003, ChinaPower Grid Planning and Research Center of Guizhou Power Grid Co., Ltd., Guizhou, Guiyang 550003, ChinaIn order to solve the problems of incomplete factors and inaccurate prediction in the current evaluation model of power transmission and transformation project, this paper uses the BP neural network algorithm optimized by simulated annealing genetic algorithm to solve the shortcomings of low training efficiency and local convergence value of BP neural network in model prediction. The comparison of experimental results shows that the BP neural network optimized by simulated annealing genetic algorithm proposed in this paper is 23.21% higher than that of BP neural network.http://www.sciencedirect.com/science/article/pii/S2352484722007132Power transmission and transformation engineeringComprehensive evaluationNeural networkGenetic algorithmSimulated annealing algorithm |
| spellingShingle | Fei Chen Ke Yang Li Wang Yu Zhang Heng Liu Comprehensive evaluation of power transmission and transformation project based on electric power big data Energy Reports Power transmission and transformation engineering Comprehensive evaluation Neural network Genetic algorithm Simulated annealing algorithm |
| title | Comprehensive evaluation of power transmission and transformation project based on electric power big data |
| title_full | Comprehensive evaluation of power transmission and transformation project based on electric power big data |
| title_fullStr | Comprehensive evaluation of power transmission and transformation project based on electric power big data |
| title_full_unstemmed | Comprehensive evaluation of power transmission and transformation project based on electric power big data |
| title_short | Comprehensive evaluation of power transmission and transformation project based on electric power big data |
| title_sort | comprehensive evaluation of power transmission and transformation project based on electric power big data |
| topic | Power transmission and transformation engineering Comprehensive evaluation Neural network Genetic algorithm Simulated annealing algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722007132 |
| work_keys_str_mv | AT feichen comprehensiveevaluationofpowertransmissionandtransformationprojectbasedonelectricpowerbigdata AT keyang comprehensiveevaluationofpowertransmissionandtransformationprojectbasedonelectricpowerbigdata AT liwang comprehensiveevaluationofpowertransmissionandtransformationprojectbasedonelectricpowerbigdata AT yuzhang comprehensiveevaluationofpowertransmissionandtransformationprojectbasedonelectricpowerbigdata AT hengliu comprehensiveevaluationofpowertransmissionandtransformationprojectbasedonelectricpowerbigdata |