电网技术Issue(5)：1335-1340,6.
粗糙集法解多环境因素影响的母线负荷预测问题
Solution of Multi Environmental Factor-Influenced Bus Load Forecasting by Rough Set Method
摘要
Abstract
There are numerous environmental factors influencing bus load and the relation among these factors are complex, and the forecasting accuracy of bus load will be reduced due to leading in irrelevant random information while all attributes of environmental factors are taken into account. A rough set (RS) method for bus load forecasting, in which multi environmental factors are considered, is proposed. The fast attribute reduction algorithm (FARA) is adopted to determine condition attributes influencing bus load evidently. Based on probabilistic rules the decision rule set is derived, and then bus load forecasting is implemented by matching rules based on distance measure method. Applying the proposed method in the active power forecasting of a 220kV bus in a certain regional power network in Guangxi power grid, the forecasting results show that using the proposed method the prediction rules beneficial to the forecasting can be mined from historical data samples of bus load forecasting, and a higher forecasting accuracy can be attained.关键词
母线负荷预测/粗糙集/属性约简/离散化Key words
bus load forecasting/rough set/attribute reduction/discretization分类
信息技术与安全科学引用本文复制引用
龙丹丽,黎静华,韦化..粗糙集法解多环境因素影响的母线负荷预测问题[J].电网技术,2013,(5):1335-1340,6.基金项目
国家自然科学基金项目(51167001，50907012)；广西研究生教育创新计划项目(105931001001)。@@@@Project Supported by National Natural Science Foundation of China (51167001, 50907012) （51167001，50907012）
Plan for Graduate Student Innovation in Guangxi Province and Guangxi Science Foundation (105931001001) （105931001001）
