利用时间序列模型和ANFIS估计器进行需求预测

Proceedings of the 41st International Universities Power Engineering Conference Pub Date : 2006-09-01 DOI:10.1109/UPEC.2006.367770

S. Mohammadi, H. Keivani, M. Bakhshi, A. Mohammadi, M. Askari, F. Kavehnia

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引用次数: 11

摘要

本文为复杂电力系统中长期能源需求预测提供了一种智能化方法。在该方法中，我们使用过去几年的能源数据来训练一个基于模糊推理系统(ANFIS)的自适应网络。我们使用这个智能网络来估计未来几年能源消耗的时间序列行为。为了验证该方法的有效性，进行了若干次仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Demand Forecasting Using Time Series Modelling and ANFIS Estimator

This paper provides an intelligence method for medium and long-term energy demand forecasting of a complicated electrical system. In this method we use energy data of several past years to train an adaptive network based on fuzzy inference system (ANFIS). We use this intelligence network to estimate the time series behaviour of energy consumption for several future years. Several simulations have been arranged to examine the efficiency of method.

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Proceedings of the 41st International Universities Power Engineering Conference

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