Kaiyu Sun

Occupant behavior modeling for building performance simulation: Current state and future challenges

Measures to improve energy demand flexibility in buildings for demand response (DR): A review

Reinforcement learning for building controls: The opportunities and challenges

Impacts of building geometry modeling methods on the simulation results of urban building energy models

Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence

Development of an occupancy learning algorithm for terminal heating and cooling units

Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving

An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework

Applications of machine learning to machine fault diagnosis: A review and roadmap

Parametric analysis of external and internal factors influence on building energy performance using non-linear multivariate regression models

Machine learning approaches for estimating commercial building energy consumption

Commercial Building Energy Saver: An energy retrofit analysis toolkit

A pattern-based automated approach to building energy model calibration

A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

Advanced Building Control via Deep Reinforcement Learning

Comparative study of the cooling energy performance of variable refrigerant flow systems and variable air volume systems in office buildings

Stochastic modeling of overtime occupancy and its application in building energy simulation and calibration