高等学校建筑物能耗预测技术研究与建模  

Research and Modeling of Energy Consumption Prediction Technology for Colleges and Universities

作　　者：张龙[1] 卜长安[1] 赵珊[1] 李洋[1] ZHANG Long;BU Changan;ZHAO Shan;LI Yang(Xi'an University of Architecture and Tech no logy,Xi'an Shaanxi 710055)

机构地区：[1]西安建筑科技大学,陕西西安710055

出　　处：《智能建筑与工程机械》2021年第5期89-92,共4页Intelligent Building and Construction Machinery

基　　金：陕西省教育厅专项科研项目(Z20170061);陕西省水利厅科技计项目(2021slkj-06)。

摘　　要：为规范绿色校园建设,推进校园建筑能耗绿色经济运行管理,提高绿色校园运行管理的经济性、科学性、规范性,住建部出台《绿色校园评价标准》国家标准,在能源与资源管理评价指标中,建模预测及针对性管理是一种有效的管理方法。本文针对高等学校建筑能耗预测及节能管理需求,从建筑电耗入手,经过对电耗消费数据的采集与统计,借助机器学习数据预测技术构建建筑物电耗回归模型,形成高校各种类型建筑物的电能消耗预测模型,为绿色校园运行、建设提供技术基础。In order to standardize the construction of green campuses,promote the green economic operation and management of energy consumption in campus buildings,and improve the economic,scientific,and standardized operation and management of green campuses,the Ministry of Housing and Urban-Rural Development has issued the national standard Evaluation Standards for Green Campuses.Among the evaluation indicators,modeling forecasting and targeted management are an effective management method.This paper aims at building energy consumption forecasting and energy-saving management needs of colleges and universities,starting with building power consumption,collecting and statistics of power consumption consumption data,using machine learning data prediction technology to construct a building power consumption regression model to form various types of buildings in colleges and universities The forecasting model of electric energy consumption provides a technical foundation for the operation and construction of a green campus.

关 键 词：预测 建筑电耗模型 绿色校园 神经网络 

分 类 号：TU111.195[建筑科学—建筑理论]