电力负荷预测的模型和方法

G. Tolegenova, A. Zakirova, A. Astankevich
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引用次数: 0

摘要

目前,电力负荷预测是一项重要的工作。在预测的基础上,计算电站的运行方式、网络配置、估计电力的效率和质量、计算检修工作的进度等。电力负荷预测模型是电力系统管理决策的预测工具之一。本文主要是对各种用电量预测模型的构建、评价和比较研究。对神经网络、神经模糊等预测方法进行了研究和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Models and methods for forecasting electrical loads
Currently, the prediction of electrical loads is an important task. On the basis of forecasts, the operating modes of stations, the network configuration are calculated, the efficiency and quality of electric power is estimated, the schedule of repair work is calculated, etc. The electric load forecasting model is one of the foresight tools for making management decisions when managing electric power systems. This article consists in the construction, evaluation and comparative study of various models for forecasting electricity consumption. The following approaches and methods in forecasting were studied and analyzed: neural network, neuro fuzzy.
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