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基于BP神经网络城市燃气短期负荷预测
引用本文:焦文玲,朱宝成,冯玉刚.基于BP神经网络城市燃气短期负荷预测[J].煤气与热力,2006,26(12):12-15.
作者姓名:焦文玲  朱宝成  冯玉刚
作者单位:1. 哈尔滨工业大学,市政环境工程学院,黑龙江,哈尔滨,150090
2. 大庆高新技术产业开发区,规划建筑设计院,黑龙江,大庆,163316
基金项目:国家自然科学基金;黑龙江省哈尔滨市青年科学基金;北京市重点实验室基金
摘    要:论述了BP神经网络的预测模型结构,提出了基于该模型的城市燃气短期负荷预测方法和程序流程,结合某城市燃气负荷数据进行了燃气负荷模拟预测,预测结果和实际情况有很好的一致性。

关 键 词:燃气负荷  短期负荷  预测  神经网络
文章编号:1000-4416(2006)12-0012-04
收稿时间:2006-08-25
修稿时间:2006-08-252006-09-21

Forecast of Short-term Town Gas Load Based on BP Neural Network
JIAO Wen-ling,ZHU Bao-cheng,FENG Yu-gang.Forecast of Short-term Town Gas Load Based on BP Neural Network[J].Gas & Heat,2006,26(12):12-15.
Authors:JIAO Wen-ling  ZHU Bao-cheng  FENG Yu-gang
Affiliation:1. School of Municipal and Environmental Engineering, Haerbin Institute of Technology, Haerbin 150090, China; 2. Planning and Architectural Design Institute, Daqing High-tech Industrial Development Zone, Daqing 163316, China
Abstract:The structure of forecast model by BP neural network is discussed,and the forecast method and program flow of short-term town gas load based on this model are put forward.The simulative forecast of gas load is conducted with gas load data of a city.The good consistency between the forecast result and the actual value has been obtained.
Keywords:gas load  short-term load  forecast  neural network
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