The analysis of combined prediction model of building energy consumption with grey theory and RBF neural network
发布时间：2024-08-09
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- 所属单位：
- 理学院
- 发表刊物：
- Advanced Materials Research
- 关键字：
- 中文关键字：建筑能耗;GM(1,1)模型;径向基神经网络，英文关键字：Building Energy Consumption;GM(1,1) Model;Radial B
- 摘要：
- A kind of new combined modeling method with GM(1,1) and RBNN (Radial Basis Neural Network) is brought forward, according to the idea that the method of neural network can bring grey prediction model a good modified effect. Based on the analysis of the energy consumption data of the existing and the annually-increased building area, the GM(1,1) model was then constructed. And the RBF neural network was used for the model residual error revising. The simulation and experiment results show that the novel model is more effective than the common grey model.
- 备注：
- 白燕
- 合写作者：
- 蒋红梅
- 第一作者：
- 任庆昌,白燕
- 论文类型：
- 期刊论文
- 卷号：
- 卷：374-377
- 期号：
- 期：
- 页面范围：
- 页：90-93
- 是否译文：
- 否
- 发表时间：
- 2011-12-01