A Novel Modeling Approach to Assess the Electricity Consumption of LEED-Certified Research Buildings Using Big Data Predictive Methods

[1]  Cathy Turner,et al.  Green Building Performance Evaluation: Measured Results from LEED-New Construction Buildings , 2008 .

[2]  John H. Scofield,et al.  Do LEED-certified buildings save energy? Not really… , 2009 .

[3]  Sylvain Robert,et al.  State of the art in building modelling and energy performances prediction: A review , 2013 .

[4]  Yogesh L. Simmhan,et al.  Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

[5]  L. Roberts.  Measuring school facility conditions: an illustration of the importance of purpose , 2009 .

[6]  A. J. Hoffman.  Peak demand control in commercial buildings with target peak adjustment based on load forecasting , 1998, Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104).

[7]  Nor Mariah Adam,et al.  A Simple Approach for Building Cooling Load Estimation , 2005 .

[8]  J. A. White,et al.  Simplified method for predicting building energy consumption using average monthly temperatures , 1996, IECEC 96. Proceedings of the 31st Intersociety Energy Conversion Engineering Conference.

[9]  Carol C. Menassa,et al.  Energy Consumption Evaluation of U.S. Navy LEED-Certified Buildings , 2012 .

[10]  Guy R. Newsham,et al.  Do LEED-certified buildings save energy? Yes, but ... , 2009 .

[11]  Roberto Lamberts,et al.  The use of simplified weather data to estimate thermal loads of non-residential buildings , 2004 .

[12]  Mohammad S. Al-Homoud,et al.  Computer-aided building energy analysis techniques , 2001 .

[13]  Lei Wang,et al.  Study on Power Energy Consumption Model for Large-Scale Public Building , 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

[14]  Issam Srour,et al.  Occupant Satisfaction with Indoor Environmental Quality: A Study of the LEED-Certified Buildings on the Arizona State University Campus , 2014 .

[15]  Jon Hand,et al.  CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMS , 2008 .

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

[17]  Denise A. Guerin,et al.  Indoor Environmental Quality Related to Occupant Satisfaction and Performance in LEED-certified Buildings , 2009 .

[18]  Ali Azadeh,et al.  A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran , 2008 .

[19]  N. Miller,et al.  Does Green Pay Off , 2008 .

[20]  Frédéric Magoulès,et al.  A review on the prediction of building energy consumption , 2012 .

[21]  Jean-Louis Scartezzini,et al.  A simplified correlation method accounting for heating and cooling loads in energy-efficient buildings , 1998 .

[22]  K. Steemers,et al.  A method of formulating energy load profile for domestic buildings in the UK , 2005 .

[23]  Atsushi Yamada,et al.  On-line prediction for load profile of an air-conditioning system , 1995 .

[24]  Yanru Zhang,et al.  A gradient boosting method to improve travel time prediction , 2015 .

[25]  Kelvin K. W. Yau,et al.  Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks , 2007 .

[26]  Bistra N. Dilkina,et al.  Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization , 2015, AAAI Workshop: Computational Sustainability.

[27]  P. Bodger,et al.  Forecasting electricity consumption in New Zealand using economic and demographic variables , 2005 .