Hussain Kazmi 
- (2024): Dyna-PINN: Physics-informed deep dyna-q reinforcement learning for intelligent control of building heating system in low-diversity training data regimes. In: Energy and Buildings, v. 324 (Dezember 2024).
- (2024): Creating synthetic energy meter data using conditional diffusion and building metadata. In: Energy and Buildings, v. 312 (Juni 2024).
- (2023): The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research. In: Journal of Physics: Conference Series, v. 2600, n. 3 (1 November 2023).
- (2023): Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation. In: Energy and Buildings, v. 300 (Dezember 2023).
- (2023): Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale. In: Building and Environment, v. 239 (Juli 2023).
- (2022): Energy balances, thermal performance, and heat stress: Disentangling occupant behaviour and weather influences in a Dutch net-zero energy neighborhood. In: Energy and Buildings, v. 263 (Mai 2022).
- (2019): Determinants of energy flexibility in residential hot water systems. In: Energy and Buildings, v. 188-189 (April 2019).
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