Massimo Fiorentini 
- (2023): Optimal sizing and operation of seasonal ice thermal storage systems. In: Energy and Buildings, v. 300 (December 2023).
- (2023): Probabilistic modelling of occupants’ thermostat preferences for residential building energy simulation and rating. In: Journal of Building Performance Simulation, v. 16, n. 4 (January 2023).
- (2022): Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management. In: Automation in Construction, v. 135 (March 2022).
- (2022): Opportunities for passive cooling to mitigate the impact of climate change in Switzerland. In: Building and Environment, v. 208 (January 2022).
- (2021): Enhancing energy efficiency and comfort in buildings through model predictive control for dynamic façades with electrochromic glazing. In: Journal of Building Engineering, v. 43 (November 2021).
- (2021): Potential and practical management of hybrid ventilation in buildings. In: Energy and Buildings, v. 231 (January 2021).
- (2015): Development and optimization of an innovative HVAC system with integrated PVT and PCM thermal storage for a net-zero energy retrofitted house. In: Energy and Buildings, v. 94 (May 2015).
- (2017): Ventilative cooling through automated window opening control systems to address thermal discomfort risk during the summer period: Framework, simulation and parametric analysis. In: Energy and Buildings, v. 153 (October 2017).
- (2020): On the impact of internal gains and comfort band on the effectiveness of building thermal zoning. In: Energy and Buildings, v. 225 (October 2020).
- (2019): Development and evaluation of a comfort-oriented control strategy for thermal management of mixed-mode ventilated buildings. In: Energy and Buildings, v. 202 (November 2019).
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