Case Study of Multiple Regression as Evaluation Tool for the Study of Relationships between Energy Demand, Air Tightness, and Associated Factors-Reference-Cited by-同舟云学术

Case Study of Multiple Regression as Evaluation Tool for the Study of Relationships between Energy Demand, Air Tightness, and Associated Factors

Published:2017-02 Issue:1 Volume:143 Page:04016027
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Ipbüker Cagatay¹,Valge Margus²,Kalbe Kristo²,Mauring Tõnu³,Tkaczyk Alan H.⁴

Affiliation:

1. Graduate Student, Univ. of Tartu, Institute of Physics, 50411 Tartu, Estonia.

2. Graduate Student, Univ. of Tartu, Institute of Technology, 50411 Tartu, Estonia.

3. Senior Research Scientist, Univ. of Tartu, Institute of Technology, 50411 Tartu, Estonia.

4. Associate Professor, Univ. of Tartu, Institute of Physics, 50411 Tartu, Estonia (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000375

Reference53 articles.

1. Belgian Institute for Standardisation. (1991). “Ventilatie voorzieningen in woongebouwen.” NBN D50–001 Brussels Belgium.

2. Bloyed C. N. Mixon W. R. and Sharp T. (1999). “Institutionalization of a benchmarking system for data on the energy use in commercial and industrial buildings.” Asia-Pacific Economic Cooperation Energy Working Group Oak Ridge National Laboratory Honolulu.

3. BSI (British Standards Institution). (2001). “Thermal performance of buildings—Determination of air permeability of buildings—Fan pressurization method.” EN 13829:2001 London.

4. Energy demand for space heating through a statistical approach: application to residential buildings

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