Development of a blind control occupant behaviour model (BC-OBM) based on contextual and time-related factors through supervised machine learning approaches

A multi-task deep reinforcement learning-based recommender system for co-optimizing energy, comfort, and air quality in commercial buildings with humans-in-the-loop

Ten questions concerning statistical data analysis in human-centric buildings research: A focus on thermal comfort investigations

Rethinking walkability: Exploring the relationship between urban form and neighborhood social cohesion

Detailed Case Studies

Ten questions concerning occupant-centric control and operations

OccuVAE: Integrating unsupervised occupancy inference in data-driven energy modeling for human-centric operation

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

A Global Building Occupant Behavior Database

Data-driven simulation of room-level building energy consumption