Power short-term load forecasting based on big data and optimization neural network
With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.The...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016245/ |
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| author | Xin JIN Long-wei LI Jia-nan JI Zhi-qi LI Yu HU Yong-bin ZHAO |
| author_facet | Xin JIN Long-wei LI Jia-nan JI Zhi-qi LI Yu HU Yong-bin ZHAO |
| author_sort | Xin JIN |
| collection | DOAJ |
| description | With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application. |
| format | Article |
| id | doaj-art-4803bc02748942c4ab73ef228ffb2631 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-4803bc02748942c4ab73ef228ffb26312025-01-14T07:11:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-0137364259705775Power short-term load forecasting based on big data and optimization neural networkXin JINLong-wei LIJia-nan JIZhi-qi LIYu HUYong-bin ZHAOWith the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016245/electric power dataparticle swarm algorithmparallel PSO to optimize the neural networkpower load fore-castingpower load factor |
| spellingShingle | Xin JIN Long-wei LI Jia-nan JI Zhi-qi LI Yu HU Yong-bin ZHAO Power short-term load forecasting based on big data and optimization neural network Tongxin xuebao electric power data particle swarm algorithm parallel PSO to optimize the neural network power load fore-casting power load factor |
| title | Power short-term load forecasting based on big data and optimization neural network |
| title_full | Power short-term load forecasting based on big data and optimization neural network |
| title_fullStr | Power short-term load forecasting based on big data and optimization neural network |
| title_full_unstemmed | Power short-term load forecasting based on big data and optimization neural network |
| title_short | Power short-term load forecasting based on big data and optimization neural network |
| title_sort | power short term load forecasting based on big data and optimization neural network |
| topic | electric power data particle swarm algorithm parallel PSO to optimize the neural network power load fore-casting power load factor |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016245/ |
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