电力系统负荷预测:综述

A. Lotufo, C. R. Minussi
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引用次数: 40

摘要

本文综述了负荷预测的最新研究成果,并根据所提出的方法和模型进行了分类,包括统计、智能系统、神经网络和模糊逻辑。由于有许多不同的模型和方法,我们研究了主要的模型和方法,考虑了经典的统计方法和现代方法,如神经网络和模糊逻辑。本文强调了现代运营中心负荷预测的重要性,认为目前最常用的预测方法是神经网络和模糊逻辑,而统计方法仍在使用,尽管使用的程度较小。
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Electric power systems load forecasting: a survey
This work reviews the latest works on load forecasting, classifying them according to presented methods and models, as statistical, intelligent systems, neural networks and fuzzy logic. As there are many different models and methods, we have studied the principal ones considering classical statistical and modern methods like neural networks and fuzzy logic. We emphasize the importance of load forecasting in modern operation centers, and conclude that nowadays the most used forecasting methods are the neural networks and fuzzy logic, but the statistical ones continue being used although to a lesser extent.
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