暂无分享,去创建一个
[1] Thomas Weng,et al. Occupancy-driven energy management for smart building automation , 2010, BuildSys '10.
[2] Michael D. Lepech,et al. A multi-objective feedback approach for evaluating sequential conceptual building design decisions , 2014 .
[3] Optimizing Neighborhood-Scale Walkability , 2019, Computing in Civil Engineering 2019.
[4] M. Ha-Duong,et al. Climate change 2014 - Mitigation of climate change , 2015 .
[5] Burcin Becerik-Gerber,et al. Energy trade off analysis of optimized daily temperature setpoints , 2018, Journal of Building Engineering.
[6] Heng Tao Shen,et al. Dimensionality Reduction , 2009, Encyclopedia of Database Systems.
[7] Eamonn J. Keogh. Nearest Neighbor , 2010, Encyclopedia of Machine Learning.
[8] Svend Svendsen,et al. Method and simulation program informed decisions in the early stages of building design , 2010 .
[9] T. Chartrand,et al. The chameleon effect: the perception-behavior link and social interaction. , 1999, Journal of personality and social psychology.
[10] Ravi S. Srinivasan,et al. From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency , 2017 .
[11] A. H. Siddiqi,et al. Algorithms for Optimization , 2000 .
[12] L. K. Norford,et al. Two-to-one discrepancy between measured and predicted performance of a ‘low-energy’ office building: insights from a reconciliation based on the DOE-2 model , 1994 .
[13] P Pieter-Jan Hoes,et al. Optimizing building designs using a robustness indicator with respect to user behavior , 2011 .
[14] Burak Gunay,et al. A critical review of field implementations of occupant-centric building controls , 2019, Building and Environment.
[15] Sonit Bafna,et al. Space Syntax , 2003 .
[16] Kwonsik Song,et al. Energy efficiency-based course timetabling for university buildings , 2017 .
[17] Zeyu Wang,et al. Random Forest based hourly building energy prediction , 2018, Energy and Buildings.
[18] Jonathan Goldstein,et al. When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.
[19] Patrick Janssen,et al. Spacematch: Using Environmental Preferences to Match Occupants to Suitable Activity-Based Workspaces , 2020, Frontiers in Built Environment.
[20] Mykel J. Kochenderfer,et al. Algorithms for Optimization , 2019 .
[21] Yacine Rezgui,et al. Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption , 2017 .
[22] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[23] Rajesh Gupta,et al. Sentinel: occupancy based HVAC actuation using existing WiFi infrastructure within commercial buildings , 2013, SenSys '13.
[24] Astrid Roetzel,et al. Impact of building design and occupancy on office comfort and energy performance in different climates , 2014 .
[25] Simaan M. AbouRizk,et al. Site Layout and Construction Plan Optimization Using an Integrated Genetic Algorithm Simulation Framework , 2017, J. Comput. Civ. Eng..
[26] John S. Gero,et al. Space layout planning using an evolutionary approach , 1998, Artif. Intell. Eng..
[27] H. Tanikawa,et al. Urban stock over time: spatial material stock analysis using 4d-GIS , 2009 .
[28] Derek Clements-Croome,et al. How the sensory experience of buildings can contribute to wellbeing and productivity , 2012 .
[29] Mahbub Rashid,et al. Designing Space to Support Knowledge Work , 2007 .
[30] John Locke,et al. Project discover: an application of generative design for architectural space planning , 2017 .
[31] David E. Culler,et al. A living laboratory study in personalized automated lighting controls , 2011, BuildSys '11.
[32] C. Flachsland. Mitigation of Climate Change: Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2015 .
[33] Kevin M. Smith,et al. Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy , 2014 .
[34] Rishee K. Jain,et al. Understanding building occupant activities at scale: An integrated knowledge-based and data-driven approach , 2018, Adv. Eng. Informatics.
[35] Yu-Cheng Lin,et al. Laying out the occupant flows in public buildings for operating efficiency , 2012 .
[36] Di Wang,et al. Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design , 2015 .
[37] Jie Zhao,et al. Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining , 2014 .
[38] Tianzhen Hong,et al. Simulation of occupancy in buildings , 2015 .
[39] John Messner,et al. Evaluating Generated Layouts in a Healthcare Departmental Adjacency Optimization Problem , 2019 .
[40] Sunkee Lee,et al. Learning-by-Moving: Can Reconfiguring Spatial Proximity Between Organizational Members Promote Individual-level Exploration? , 2019, Organization Science.
[41] Fan Zhang,et al. Designing activity-based workspaces: satisfaction, productivity and physical activity , 2018, Building Research & Information.
[42] Burcin Becerik-Gerber,et al. Building occupancy diversity and HVAC (heating, ventilation, and air conditioning) system energy efficiency , 2016 .
[43] Dirk Saelens,et al. Impact of occupant behaviour on lighting energy use , 2009 .
[44] Betul Bektas Ekici,et al. Prediction of building energy consumption by using artificial neural networks , 2009, Adv. Eng. Softw..
[45] Magali Bodart,et al. Lighting energy savings in offices using different control systems and their real consumption , 2008 .
[46] Bruna Tanaka Cremonini,et al. Buildings , 1995, Data, Statistics, and Useful Numbers for Environmental Sustainability.
[47] Anand Sivasubramaniam,et al. Good set-points make good neighbors: user seating and temperature control in uberized workspaces , 2018, BuildSys@SenSys.
[48] Miguel A. Carreira-Perpinan,et al. Dimensionality Reduction , 2011 .