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Fuzzy logic approach for future load curve forecasting based on similarity

机译:基于相似度的未来负荷曲线预测的模糊逻辑方法

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摘要

Load forecasting has always been an essential part of efficient power system planning and operations. In this paper, we propose the fuzzy logic approach for future load curve forecasting based on similarity. The proposed approach has the advantage of dealing with not only the nonlinear part of forecasted load curve but also with load curve forecasting without distinction of day type. In addition to the above mentioned advantages, the proposed method is useful in situations where accurateforecasting models are difficult to design. The fuzzy logic approach is used to modify the load curves on similar days in order to shape the next day load curve. The suitability of the proposed approach is illustrated through an application to actual load data of the Okinawa Electric Power Company in Japan.
机译:负荷预测一直是有效的电力系统规划和运营的重要组成部分。在本文中,我们提出了基于相似度的未来负荷曲线预测的模糊逻辑方法。所提出的方法的优点是不仅可以处理预测负荷曲线的非线性部分,而且可以处理负荷曲线预测而无需区分日类型。除了上述优点外,所提出的方法在难以设计准确的预测模型的情况下也很有用。模糊逻辑方法用于修改相似日期的负荷曲线,以塑造第二天的负荷曲线。通过对日本冲绳电力公司的实际负荷数据的应用说明了该方法的适用性。

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