Chengliang Fan
- : Development of near-optimal advanced control sequences for chiller plants with water-side economizers in U.S. Climates (ASHRAE RP-1661). In: Science and Technology for the Built Environment.
- (2025): An AI-driven electromagnetic-triboelectric self-powered and vibration-sensing system for smart transportation. In: Engineering Structures, v. 323 (January 2025).
- (2024): Variable damping energy regenerative damper for self-powered sensors and self-sensing devices in smart electric buses. In: Smart Materials and Structures, v. 33, n. 10 (18 September 2024).
- (2024): Quantifying the Influence of Different Block Types on the Urban Heat Risk in High-Density Cities. In: Buildings, v. 14, n. 7 (2 July 2024).
- (2024): Impact of urbanization on heavy metals in outdoor air and risk assessment: A case study in severe cold regions. In: Sustainable Cities and Society, v. 114 (November 2024).
- (2024): Evaluation of energy performance and ecological benefit of free-cooling system for data centers in worldwide climates. In: Sustainable Cities and Society, v. 108 (August 2024).
- (2023): A dual-kinetic energy harvester operating on the track and wheel of rail deceleration system for self-powered sensors. In: Smart Materials and Structures, v. 32, n. 12 (27 October 2023).
- (2023): A novel machine learning-based model predictive control framework for improving the energy efficiency of air-conditioning systems. In: Energy and Buildings, v. 294 (September 2023).
- (2023): Model-based predictive control optimization of chiller plants with water-side economizer system. In: Energy and Buildings, v. 278 (January 2023).
- (2022): An online physical-based multiple linear regression model for building’s hourly cooling load prediction. In: Energy and Buildings, v. 254 (January 2022).
- (2019): Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales. In: Sustainable Cities and Society, v. 51 (November 2019).
- (2020): Improving cooling load prediction reliability for HVAC system using Monte-Carlo simulation to deal with uncertainties in input variables. In: Energy and Buildings, v. 226 (November 2020).
- (2019): Cooling load prediction and optimal operation of HVAC systems using a multiple nonlinear regression model. In: Energy and Buildings, v. 197 (August 2019).
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