| 基于支持向量机的某地区电网短期电力负荷预测 |
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| 引用本文：万强,王清亮,王睿豪,黄朝晖,白云飞,陈大军,栗维勋.基于支持向量机的某地区电网短期电力负荷预测[J].电网与清洁能源,2016,32(12):14~20 |
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| 基金项目:基金项目：国家自然科学基金资助项目（51607136）。 |
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| 中文摘要:摘要： 负荷预测是电力系统安全经济运行的前提。随着电力系统的市场化和能源互联网的研究与发展，高质量的负荷预测显得愈发重要。分析了影响负荷预测的因素，对数据进行收集及挖掘，采用了基于支持向量机负荷预测算法对区域负荷进行短期预测，并进一步开展了针对城区的精细化负荷预测研究。结合某地区案例，对该算法进行验证，结果表明，该算法预测结果优越，相对误差率较小。 |
| 中文关键词:关键词： 短期负荷预测 数据发掘 支持向量机 |
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| Short-Term Load Forecasting of a Regional Power Grid Based on Support Vector Machine |
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| Abstract:ABSTRACT： Load forecasting is a prerequisite for safe and economical operation of power system. With the market reform of power system and research and development of the energy Internet， high-quality load forecast becomes increasingly im-portant. This paper analyzes the factors that influence the load forecasting， collects and excavates the data， uses the support vector machine load forecasting algorithm to forecast the regi-onal short-term load， and further develops the fine load fore-casting research for the urban area. According to a test of this forecasting algorithm for a case in an urban area， the result shows that the better the forecasting result， the lower the rela-tive rate. |
| keywords:KEY WORDS：short-term load forecasting data mining sup-port vector machine |
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