基于小波变换和模糊逻辑的负荷预测

P. Binh, N. T. Hung, P. Q. Dung, Lee-Hong Hee
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引用次数: 5

摘要

电力负荷是非平稳时间序列。对于非平稳时间序列,小波技术是一种更有效的逼近方法。近年来,模糊小波在预测问题中越来越受到关注。提出了基于MODWT和模糊逻辑的负荷曲线和用电量预测方法。对于每个独立的小波子序列,确定模糊规则以进行预测。然后,将各个小波子序列的预测结果进行重组,得到最终结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load forecasting based on wavelet transform and fuzzy logic
The electrical loads is the non-stationary time series. With the non-stationary time series, the wavelet technique is more effective technique for approximation. In recent year the fuzzy-wavelet is more attractive for forecasting problem. This paper presented the load curve and electricity consumption forecasting based on MODWT and fuzzy logic. For each individual wavelet sub-series, the fuzzy-rules will be determined in order to carry out the forecasting. After that, the individual wavelet sub-series forecasts are recombined to give the final result.
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