基于模糊知识的客车负荷预测系统

G. Lambert-Torres, L. E. Borges da Silva, B. Valiquette, H. Greiss, D. Mukhedkar
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引用次数: 27

摘要

作者描述了一种短期负荷预测的替代方法。该方法在知识库中融合了传统的数学技术和模糊概念。该知识库的规则是利用总线的历史数据设计的,并用模糊条件语句表示。文中给出了一个使用实际电力系统的实际数据的算例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A fuzzy knowledge-based system for bus load forecasting
The authors describe an alternative approach to short-term load forecasting. The approach merges traditional mathematical techniques and fuzzy concepts in a knowledge base. The rules of this knowledge base are devised using the historical data of the bus and are represented by fuzzy conditional statements. An example using real data from an actual power system is presented.<>
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