Understanding energy consumption in high-performance social housing buildings : a case study from Canada

[1]  Jerald D. Parker,et al.  Heating, Ventilating, and Air Conditioning: Analysis and Design , 1977 .

[2]  Elizabeth A. Peck,et al.  Introduction to Linear Regression Analysis , 2001 .

[3]  A. Emery,et al.  A long term study of residential home heating consumption and the effect of occupant behavior on homes in the Pacific Northwest constructed according to improved thermal standards , 2006 .

[4]  Yang Yao,et al.  A study on the performance of a geothermal heat exchanger under coupled heat conduction and groundwater advection , 2007 .

[5]  Joseph Virgone,et al.  Development and validation of regression models to predict monthly heating demand for residential buildings , 2008 .

[6]  Kristian Fabbri,et al.  Energy performance building evaluation in Mediterranean countries: Comparison between software simulations and operating rating simulation , 2008 .

[7]  Saltelli Andrea,et al.  Global Sensitivity Analysis: The Primer , 2008 .

[8]  T. Agami Reddy,et al.  Applied Data Analysis and Modeling for Energy Engineers and Scientists , 2011 .

[9]  Itai Danielski.  Large variations in specific final energy use in Swedish apartment buildings : Causes and solutions , 2012 .

[10]  Giuliano Dall'O',et al.  Comparison between predicted and actual energy performance for summer cooling in high-performance residential buildings in the Lombardy region (Italy) , 2012 .

[11]  David Coley,et al.  Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings , 2013 .

[12]  Jin Wen,et al.  Reducing energy consumption in low income public housing: Interviewing residents about energy behaviors , 2013 .

[13]  K. Steemers,et al.  A statistical analysis of a residential energy consumption survey study in Hangzhou, China , 2013 .

[14]  Barriers to the design and use of cross-laminated timber structures in high-rise multi-family housing in the United States , 2013 .

[15]  S. Beck,et al.  Using regression analysis to predict the future energy consumption of a supermarket in the UK , 2014 .

[16]  Mohammad Mottahedi,et al.  On the development of multi-linear regression analysis to assess energy consumption in the early stages of building design , 2014 .

[17]  Chun-Ho Cho,et al.  The Estimation of Base Temperature for Heating and Cooling Degree-Days for South Korea , 2014 .

[18]  Goran Šimunović,et al.  Improving the residential natural gas consumption forecasting models by using solar radiation , 2014 .

[19]  Pieter de Wilde,et al.  The gap between predicted and measured energy performance of buildings: A framework for investigation , 2014 .

[20]  W. Pan,et al.  Challenges for Modeling Energy Use in High-rise Office Buildings in Hong Kong , 2015 .

[21]  M. A. Rafe Biswas,et al.  Regression analysis for prediction of residential energy consumption , 2015 .

[22]  Jones,et al.  The gap between simulated and measured energy performance: A case study across six identical new-build flats in the UK , 2015 .

[23]  Christina J. Hopfe,et al.  The Passivhaus Designer’s Manual : A technical guide to low and zero energy buildings , 2015 .

[24]  Shideh Shams Amiri,et al.  Using multiple regression analysis to develop energy consumption indicators for commercial buildings in the U.S. , 2015 .

[25]  Borong Lin,et al.  Residential heating energy consumption modeling through a bottom-up approach for China's Hot Summer–Cold Winter climatic region , 2015 .

[26]  David R. Riley,et al.  Multi-linear Regression Models to Predict the Annual Energy Consumption of an Office Building with Different Shapes , 2015 .

[27]  Nathaniel S. Pearre,et al.  High resolution measured domestic hot water consumption of Canadian homes , 2015 .

[28]  David Webb,et al.  Predicting Energy Performance of a Net-Zero Energy Building: A Statistical Approach. , 2016, Applied energy.

[29]  Ian Walker,et al.  The effect of real-time context-aware feedback on occupants' heating behaviour and thermal adaptation , 2016 .

[30]  Noureddine Settou,et al.  Modeling and forecasting energy consumption for residential buildings in Algeria using bottom-up approach , 2016 .

[31]  Rita Streblow,et al.  Energy performance gap in refurbished German dwellings: Lesson learned from a field test , 2016 .

[32]  Burcin Becerik-Gerber,et al.  Buildings with persona: Towards effective building-occupant communication , 2017, Comput. Hum. Behav..

[33]  Ian Walker,et al.  The building performance gap: Are modellers literate? , 2017 .

[34]  Angela Sanguinetti,et al.  Occupant thermal feedback for improved efficiency in university buildings , 2017 .

[35]  Yongjun Sun,et al.  Modeling energy consumption in residential buildings: A bottom-up analysis based on occupant behavior pattern clustering and stochastic simulation , 2017 .

[36]  Zheng O'Neill,et al.  Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion , 2017 .

[37]  Jia-ping Liu,et al.  Sensitivity Analysis of Meteorological Parameters on Building Energy Consumption , 2017 .

[38]  Vítor Leal,et al.  Modelling the relationship between heating energy use and indoor temperatures in residential buildings through Artificial Neural Networks considering occupant behavior , 2017 .

[39]  B. Sajadi,et al.  Sensitivity analysis of building energy performance: A simulation-based approach using OFAT and variance-based sensitivity analysis methods , 2018 .