Analysis of a Residential Building Energy Consumption Demand Model

Wei Yu, Baizhan Li, Yarong Lei and Meng Liu
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Wei Yu: Key Lab of the Three Gorges Reservoir Region’s Eco-Environment, Chongqing University, Ministry of Education, Chongqing, 400045, China
Baizhan Li: Key Lab of the Three Gorges Reservoir Region’s Eco-Environment, Chongqing University, Ministry of Education, Chongqing, 400045, China
Yarong Lei: Key Lab of the Three Gorges Reservoir Region’s Eco-Environment, Chongqing University, Ministry of Education, Chongqing, 400045, China
Meng Liu: Key Lab of the Three Gorges Reservoir Region’s Eco-Environment, Chongqing University, Ministry of Education, Chongqing, 400045, China

Energies, 2011, vol. 4, issue 3, 1-13

Abstract: In order to estimate the energy consumption demand of residential buildings, this paper first discusses the status and shortcomings of current domestic energy consumption models. Then it proposes and develops a residential building energy consumption demand model based on a back propagation (BP) neural network model. After that, taking residential buildings in Chongqing (P.R. China) as an example, 16 energy consumption indicators are introduced as characteristics of the residential buildings in Chongqing. The index system of the BP neutral network prediction model is established and the multi-factorial BP neural network prediction model of Chongqing residential building energy consumption is developed using the Cshap language, based on the SQL server 2005 platform. The results obtained by applying the model in Chongqing are in good agreement with actual ones. In addition, the model provides corresponding approximate data by taking into account the potential energy structure adjustments and relevant energy policy regulations.

Keywords: energy consumption; energy consumption demand model; BP neural network; residential building (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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