多模型热用户用热特性研究对比  

A Comparative Study of Thermal Characteristics of Multi-Model Heat Users

作　　者：李昌奇 曹琦 LI Changqi;CAO Qi(Beijing Guodian Power Co.,Ltd Dalian ETDC Power Station,Dalian,Liaoning,116600;Dalian University of Technology School of Energy and Power Engineering,Dalian,Liaoning,116024)

机构地区：[1]北京国电电力有限公司大连开发区热电厂,辽宁大连116600 [2]大连理工大学能源与动力学院,辽宁大连116024

出　　处：《能源科技》2025年第2期37-41,共5页Energy Science and Technology

摘　　要：随着计算机信息技术的飞速发展,大量热电公司已经具备了运转平稳的信息系统。按照热力系统数据挖掘全过程,分析热用户的用热特点,采用不同的预测模型,预计24 h所需蒸汽量,并对各个模型的预测效果进行分析,为蒸汽产量提供可靠基础,有效降低了能源浪费,为城市热网的平稳运营与生产提供了重要保障。With the rapid development of computer and information science technology,most thermoelectric enterprises have established stable information systems.After the complete process of the data collection pro⁃cess,this study analyzes the heat consumption characteristics of thermal users.Different prediction models are employed to forecast the 24-hour steam demand,and evaluats the predictive performance of each model.The results provide a reliable basis for steam production planning,effectively reducing energy waste and en⁃suring stable operation and production of urban heating networks.

关 键 词：神经网络 用热特性 模型对比 

分 类 号：TM621[电气工程—电力系统及自动化]