An ANN-based fast building energy consumption prediction method for complex architectural form at the early design stage

2019 ◽  
Vol 12 (4) ◽  
pp. 665-681 ◽  
Author(s):  
Ziwei Li ◽  
Jian Dai ◽  
Hongzhong Chen ◽  
Borong Lin
Keyword(s):  
Energy Consumption ◽  
Prediction Method ◽  
Building Energy ◽  
Design Stage ◽  
Building Energy Consumption ◽  
Architectural Form ◽  
Early Design ◽  
Early Design Stage ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

scholarly journals Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction Technology

2019 ◽  
Vol 118 ◽  
pp. 04010
Author(s):  
Heng-jie Li ◽  
Zhen Qiao ◽  
Wei Chen ◽  
Xian-qiang Zeng ◽  
Long Wu
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Prediction Method ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Public Buildings ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

In order to solve the problem of high energy consumption of public buildings and optimize and improve energy conservation of public buildings, we built a building energy consumption prediction model based on NAR neural network prediction technology improved by BP neural network algorithm, and the energy consumption value is predicted. The large public buildings as the research object, the key factors to determine the effect of building energy consumption and collect the corresponding data processing, as the input parameters of neural network prediction public buildings energy consumption value, according to the actual situation will eventually NAR prediction of neural network and BP network prediction method and the comparative analysis the measured data. The results show that NAR neural network can predict the energy consumption of public buildings more accurately than BP neural network under different building parameters.

Building Energy Consumption Prediction Evaluation Model

2011 ◽  
Vol 280 ◽  
pp. 101-105 ◽  
Author(s):  
Nan Li ◽  
Jing Zhao ◽  
Neng Zhu
Keyword(s):  
Energy Consumption ◽  
Evaluation Model ◽  
Operation Time ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Wide Range ◽  
Good Movement ◽  
Energy Consumption Prediction ◽  
Prediction Evaluation ◽  
Consumption Prediction

Building energy consumption prediction provides the possibility for regulating running condition of equipments in advance. Then the equipments will keep good movement and building energy consumption will reduce obviously. This paper built an energy consumption prediction evaluation model according to Matlab Artificial Neural Network Toolbox. The model was trained and simulated by operation data in June-September of 2008 and 2009 of a case building. Then it can be used to predict this building energy consumption by special data, such as meteorological characteristics of prediction year, operation load, operation time and energy consumption of last year. With more building samples, the model will be used in wide range of building energy consumption prediction.

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