| 基于最小二乘支持向量机的短期负荷预测 |
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| 引用本文： | 杨凯帆,黄婧,谢枭,王若昕,沈丹青,何丽娜,陈汝科. 基于最小二乘支持向量机的短期负荷预测[J]. 电工材料, 2021, 0(1): 51-53. DOI: 10.16786/j.cnki.1671-8887.eem.2021.01.015 |
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| 作者姓名： | 杨凯帆 黄婧 谢枭 王若昕 沈丹青 何丽娜 陈汝科 |
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| 作者单位： | 国网湖北省电力有限公司钟祥市供电公司,湖北钟祥 431900;国网湖北省电力有限公司沙洋县供电公司,湖北沙洋 448200;国网湖北省电力有限公司钟祥市供电公司,湖北钟祥 431900;国网湖北省电力有限公司钟祥市供电公司,湖北钟祥 431900;国网湖北省电力有限公司钟祥市供电公司,湖北钟祥 431900;国网湖北省电力有限公司钟祥市供电公司,湖北钟祥 431900;国网湖北省电力有限公司钟祥市供电公司,湖北钟祥 431900 |
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| 摘 要： | 为了合理解决用电高峰电量分配问题,采用短期负荷预测是一种非常有效的手段,在电力系统安全调度、经济运行中扮演着重要角色。利用最小二乘支持向量机在求解样本少、维度高等复杂问题中的优势,通过提高负荷预测的精度,使电力系统运行的可靠性得到提高。并采用某地负荷数据进行仿真,结果表明,最小二乘支持向量机在短期负荷预测中运行良好。
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| 关 键 词： | 负荷预测 经济运行 稳定运行 最小二乘支持向量机 |
Short-term Load Forecasting based on Least Squares Support Vector Machine |
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| YANG Kaifan,HUANG Jing,XIE Xiao,WANG Ruoxin,SHEN Danqing,HE Lina,CHEN Ruke. Short-term Load Forecasting based on Least Squares Support Vector Machine[J]. Electrical Engineering Materials, 2021, 0(1): 51-53. DOI: 10.16786/j.cnki.1671-8887.eem.2021.01.015 |
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| Authors: | YANG Kaifan HUANG Jing XIE Xiao WANG Ruoxin SHEN Danqing HE Lina CHEN Ruke |
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| Affiliation: | (State Grid Hubei Zhongxiang Power Supply Company,Zhongxiang 431900,China;State Grid Hubei Shayang Power Supply Company,Shayang 448200,China) |
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| Abstract: | In order to reasonably solve the problem of peak electricity distribution,the use of short-term load forecasting is a very effective method and plays an important role in the safe dispatch and economic operation of the power system.The advantages in higher and complex problems improve the reliability of power system operation by improving the accuracy of load forecasting.And using the load data of a certain place for simulation,the results show that the least squares support vector machine works well in short-term load forecasting. |
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| Keywords: | load forecast economic operation stable operation least square support vector machine |
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