某电力公司智能混合负荷预测系统

SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (Cat. No.01EX504) Pub Date : 2001-06-25 DOI:10.1109/SMCIA.2001.936723

H. Lewis

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引用次数: 9

摘要

本文提出了一种针对某地区电力公司的日前负荷预测系统。该公司为开发该软件的大部分提供了资金。该系统基于智能系统设计的混合方法，结合了基于人类负荷预测专家知识的模糊启发式方法和基于数据驱动的神经网络组件。为了使系统真正有用，相当多的重点放在用户界面上，包括一个高度发达的解释模块。

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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Intelligent hybrid load forecasting system for an electric power company

The paper presents a system for day-ahead load forecasting as originally proposed to a regional electric power company. The company provided funding for developing most parts of this software. The system is based on a hybrid approach to intelligent systems design combining a fuzzy heuristic approach based on the knowledge of human experts in load forecasting with a data-driven neural network-based component. To make the system truly useful, considerable emphasis was placed on the user interface including a highly developed explanation module.

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SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (Cat. No.01EX504)

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