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Short-term load forecasting model based on extended rough set
Author(s): 
Pages: 25-28,38
Year: Issue:  5
Journal: Relay

Abstract: 影响短期电力负荷预测的因素众多,如何有效地判断和选择这些相关因素是改善电力负荷预测的关键,通过引入数据挖掘中粗糙集约简算法来解决这一难题.针对常规粗糙集算法计算量大,且不具备容错性和泛化能力,在属性约简过程中设置了分类可信度β,因而对数据具有了一定的容错性和泛化能力,增强了抗噪声能力.经过对实际数据的计算分析,证实了本文提出的方法在一定程度上提高了负荷预测的精度和速度.
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