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Demographics as Determinants of Building Occupants' Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach.

, , , and . J. Comput. Civ. Eng., (2022)

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Mathematical Model for the Placement of Hydrogen Refueling Stations to Support Future Fuel Cell Trucks., , , and . IEEE Access, (2021)Conceptual Framework to Optimize Building Energy Consumption by Coupling Distributed Energy Simulation and Occupancy Models., , , , , and . J. Comput. Civ. Eng., 28 (1): 50-62 (2014)Machine Learning as Surrogate to Building Performance Simulation: A Building Design Optimization Application., , and . DARE@PKDD/ECML, volume 11325 of Lecture Notes in Computer Science, page 94-102. Springer, (2018)Optimizing HVAC operation in commercial buildings: A genetic algorithm multi-objective optimization framework., and . WSC, page 1725-1735. IEEE, (2016)Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings., and . J. Comput. Civ. Eng., 26 (4): 506-518 (2012)Exploring drivers of patient satisfaction using a random forest algorithm., , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 157 (2021)A conceptual framework to energy estimation in buildings using agent based modeling., and . WSC, page 3145-3156. IEEE, (2010)A Systematic Assessment of Genetic Algorithm (GA) in Optimizing Machine Learning Model: A Case Study from Building Science., , , and . IEEM, page 384-389. IEEE, (2022)A decision framework for energy use reduction initiatives in commercial buildings., and . WSC, page 816-827. IEEE, (2011)Non-Intrusive Data Monitoring and Analysis of Occupant Energy-Use Behaviors in Shared Office Spaces., , , and . IEEE Access, (2020)