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| The Kind of Electric Power Industry Material Demand Forecasting Method based on SVM |
| Han Ji1, He Chenghao2, Su Xing2, Shi Chengyun2, Liu Dongying3 |
1. Yunnan Power Grid Co., Ltd, Kunming 650011;
2. Yunnan Power Grid Co., Ltd, Lincang Power Supply Bureau, Lincang, Yunnan 677000;
3. Kunming NXScience and Technology Co., Ltd, Kunming 650051 |
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Abstract The method, based on SVM, a kind of electric power industry material demand forecasts ,has been proposed, in order to reduce audit work of the material demand, improving the efficiency and accuracy. Firstly, the method analyzed historical sample data and translated materials demand audit into classification problem. Secondly, it need preprocessing the data, making it standardization. Defining and extracting demand characteristics by combining power domain knowledge base. Finally, support vector machine, by training model, finished the audit work on types and amounts of material purchase.
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Published: 13 December 2016
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| Cite this article: |
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Han Ji,He Chenghao,Su Xing等. The Kind of Electric Power Industry Material Demand Forecasting Method based on SVM[J]. Electrical Engineering, 2016, 17(12): 152-154.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2016/V17/I12/152
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2016, Vol. 17 
