Fulin Wang

Design and Implementation of Smart Home Control Systems Based on Wireless Sensor Networks and Power Line Communications

Reinforcement learning for building controls: The opportunities and challenges

A review of reinforcement learning methodologies for controlling occupant comfort in buildings

Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems

Optimal control of HVAC and window systems for natural ventilation through reinforcement learning

Cooling the cities – A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments

Application of deep Q-networks for model-free optimal control balancing between different HVAC systems

A review of the role of urban agriculture in the sustainable city discourse

Optimizing legacy building operation: The evolution into data-driven predictive cyber-physical systems

Advanced process control for ultrafiltration membrane water treatment system

Integral Reinforcement Learning for Linear Continuous-Time Zero-Sum Games With Completely Unknown Dynamics

User satisfaction adaptive behaviors for assessing energy efficient building indoor cooling and lighting environment

Event-Based Optimization Within the Lagrangian Relaxation Framework for Energy Savings in HVAC Systems

Predicting residential energy consumption using CNN-LSTM neural networks

A review on time series forecasting techniques for building energy consumption

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

A review on the generation, determination and mitigation of Urban Heat Island

Performance based thermal comfort control (PTCC) using deep reinforcement learning for space cooling

Reinforcement learning for demand response: A review of algorithms and modeling techniques

Approaches to study Urban Heat Island – Abilities and limitations

Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP

Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review

LightLearn: An adaptive and occupant centered controller for lighting based on reinforcement learning

Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency

A review on optimized control systems for building energy and comfort management of smart sustainable buildings

Cost-benefit evaluation for building intelligent systems with special consideration on intangible benefits and energy consumption

Measurement of thermal environment in Kyoto city and its prediction by CFD simulation

A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: From model to application

Building Energy Management: Integrated Control of Active and Passive Heating, Cooling, Lighting, Shading, and Ventilation Systems

Satisfaction based Q-learning for integrated lighting and blind control

Experimental comparison between set-point based and satisfaction based indoor thermal environment control