Optimization Combination Forecast Method of SVM and WNN for Power Load Forecasting

机译：SVM和WNN的电力负荷预测优化组合预测方法。

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摘要

This paper puts forward a new method of the SVM and wavelet neural network optimization combination model for power load forecasting. It uses fixed weight method of forecasting model, that is, it chooses weight with average precision of each model to build an optimization combination forecasting model. It can be seen from the example that this method can improve effectively the forecast accuracy. The forecast model was tested and the result showed that it was an effective way to forecast power load.

机译：提出了一种新的支持向量机和小波神经网络优化组合模型的电力负荷预测方法。它采用固定权重的预测模型方法，即以每个模型的平均精度选择权重，建立优化组合预测模型。从实例中可以看出，该方法可以有效地提高预测精度。对预测模型进行了测试，结果表明这是预测电力负荷的有效方法。

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来源
《Fourth International Joint Conference on Computational Sciences and Optimization》|2011年|p.249-253|共5页
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作者
Zhang Qian; Lai Kin Keung; Niu Dongxiao;
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正文语种
中图分类计算技术、计算机技术;
关键词
Power Load Forecasting; SVM; WNN;

机译：电力负荷预测;支持向量机; WNN;

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2. A hybrid application of soft computing methods with wavelet SVM and neural network to electric power load forecasting [J] . Changhao Xia, Mi Zhang, Jin Cao Journal of Electrical Systems and Information Technology . 2018,第3期

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3. The Optimized Comparison of the Gray Model Improved by Posterior-Error-Test and SVM Modified by Markov Residual Error in the Long-medium Power Load Forecast [J] . Wei Li, Zhen-gang Zhang Journal of Computers . 2010,第5期

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4. Optimization Combination Forecast Method of SVM and WNN for Power Load Forecasting [C] . Zhang Qian, Lai Kin Keung, Niu Dongxiao International Joint Conference on Computational Sciences and Optimization;International Workshop on Computation Methods in Energy Economics;International Workshop on Intelligent Computational Science;International Workshop on Advanced Intelligent Computing for Meteorological Applications;International Workshop on Computational Transportation Science;International Workshop on Computational Finance and Business Intelligence;International Workshop on Multi-Criteria Decision-Making and Emergency Management;International Worksohp on Spatial Computational Sciences and Applications;International Workshop on Computational Service Science;International Workshop on Meteorological Disaster and Public Meteorology Service;International Workshop on Computational Business Science;International Conference on Intelligent Engineering Informatics;International Workshop on Logistics and Supply Chain Management;International Workshop on Low-Carbon Economy and Carbom Finance;International Workshop on Information Processing and Management for E-Commerce;International Workshop on Financial Optimization and Risk Management;International Workshop on Risk Management: THeory, Methods and Applications . 2011

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5. Short Term Wind Power Forecast Error Analysis Using Statistical Methods --- A Study of the Reduction of the Regional Aggregated Wind Power Forecast Error by Spatial Smoothing Effects in the Maritimes. [D] . Han, Yu. 2008

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7. The Optimized Comparison of the Gray Model Improved by Posterior-Error-Test and SVM Modified by Markov Residual Error in the Long-medium Power Load Forecast [O] . Li Wei, Zhang Zhen-gang 2014

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Optimization Combination Forecast Method of SVM and WNN for Power Load Forecasting

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