Esther Borkowski 
- (2025): A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study. Dans: Energy and Buildings, v. 329 (février 2025).
- (2024): Overview of occupant-centric KPIs for building performance and their value to various building stakeholders. Dans: Energy and Buildings, v. 322 (novembre 2024).
- (2023): Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control. Dans: Journal of Physics: Conference Series, v. 2600, n. 7 (1 novembre 2023).
- (2022): Empirical validation of co-simulation models for adaptive building envelopes. Dans: Journal of Facade Design and Engineering, v. 10, n. 1 (22 juin 2022).
- (2021): Adaptive building envelope simulation in current design practice: findings from interviews with practitioners about their understanding of methods, tools and workarounds and implications for future tool developments. Dans: Intelligent Buildings International, v. 14, n. 2 (avril 2021).
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