The evolving of data-driven analytics for buildings and cities towards sustainability
Data-driven approaches for prediction and classification of building energy consumption
Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks
Cluster Analysis for Occupant-behaviour based Electricity Load Patterns in Buildings: A Case Study in Shanghai Residences
A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development
Tailoring future climate data for building energy simulation
A solar photovoltaic/thermal (PV/T) concentrator for building application in Sweden using Monte Carlo method
Influencing factors for occupants' window-opening behaviour in an office building through logistic regression and Pearson correlation approaches
Reinforcement learning methodologies for controlling occupant comfort in buildings
A novel Reinforcement learning method for improving occupant comfort via window opening and closing. 2942492291991671341156161.