Green House Demand Forecasting Model Based on Markov Chains

Author

Xiaojian, Guo ; Rong, Liu

Author_Institution

Sch. of Econ. & Manage., Jiangxi Univ. of Sci. & Technol., Ganzhou, China

Volume

2

fYear

2010

fDate

11-12 May 2010

Firstpage

407

Lastpage

409

Abstract

Deeply influenced by the concept of sustainable development, people begin to pay more and more attention to the problems of resource drain and environment pollution on the earth on which they live. As a result, green revolutions are booming all over the world and building green house actively is the inevitable choice for real estate industry to take the path of sustainable development. Based on the theory of Markov Chains, this paper sets up a green house demand forecasting model, by which the demand for green house is forecasted and decision making basis on housing product development for Real Estate Development Enterprise is provided.

Keywords

Markov processes; building societies; decision making; demand forecasting; greenhouses; sustainable development; Markov chain; decision making; demand forecasting; environment pollution; green house; green revolution; housing product development; real estate development enterprise; sustainable development; Architecture; Biological system modeling; Demand forecasting; Economic forecasting; Environmental economics; Humans; Pollution; Power generation economics; Predictive models; Sustainable development; Markov Chains; demand forecast; green house; sustainable development;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.58

Filename

5523024