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An Ensemble Data Mining and FLANN Combining Short-term Load Forecasting System for Abnormal Days

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Author(s): Ming Li | Junli Gao

Journal: Journal of Software
ISSN 1796-217X

Volume: 6;
Issue: 6;
Start page: 961;
Date: 2011;
Original page

Keywords: short-term load forecasting | combining forecasting | data mining | ENN | abnormal days

ABSTRACT
A data mining and ENN combining short-term load forecasting system is proposed to deal with the weather-sensitive factors' influence on the power load in abnormal days. The statistic analysis showed that the accuracy of the short time load forecasting in abnormal days has increased greatly while the actual forecasting results of AnHui Province’s total electric power load and the comparative analysis have validated the effectiveness and the superiority of the strategy.
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