制冷技术2023，Vol.43Issue(4)：46-53,8.DOI:10.3969/j.issn.2095-4468.2023.04.202
基于累积灰色径向基函数模型的建筑能耗预测
Building Energy Consumption Prediction Based on Trigonometric Grey Radial Basis Function Model
摘要
Abstract
Aiming at the public building with the characteristic of oscillations of the monthly building energy consumption,a trigonometric grey model radial basis function(TGM-RBF)neural network prediction model is proposed based on function combination transformation to realize the prediction of public building energy consumption.Using the monthly energy consumption simulation data of a public building in Xi'an area and the actual energy consumption data of China's construction industry from 2010 to 2017,the cumulative TGM-RBF model,cumulative TGM(1,1)model and GM(1,1)model are constructed respectively The building energy consumption is predicted,and the predictive results are compared.The results show that the prediction accuracy of the combined model is higher than that of the single model,with the prediction accuracy increased by 7.31%,6.46%and 0.95%,0.83%,respectively.关键词
建筑能耗/函数组合变换/累积法/径向基函数神经网络Key words
Building energy consumption/Function combinatorial transformation/Cumulative method/Radical basis function neural network分类
通用工业技术引用本文复制引用
白燕,贺引娥,武璐璐..基于累积灰色径向基函数模型的建筑能耗预测[J].制冷技术,2023,43(4):46-53,8.基金项目
陕西省自然科学基金(No.2017JM5019),陕西省建设厅科技发展计划(No.2019-K34),陕西省教育科学规划课题(No.SGH18H111). （No.2017JM5019）
