| Application of neural networks for evaluating energy performance certificates of residential buildings F Khayatian, L Sarto Energy and Buildings 125, 45-54, 2016 | 124 | 2016 |
| Evaluation of cities’ smartness by means of indicators for small and medium cities and communities: A methodology for Northern Italy E Bruni, A Panza, L Sarto, F Khayatian Sustainable Cities and Society 34, 193-202, 2017 | 93 | 2017 |
| Building energy retrofit index for policy making and decision support at regional and national scales F Khayatian, L Sarto Applied energy 206, 1062-1075, 2017 | 45 | 2017 |
| Phase change material (PCM) integrations into buildings in hot climates with simulation access for energy performance and thermal comfort: A review H Zhan, N Mahyuddin, R Sulaiman, F Khayatian Construction and Building Materials 397, 132312, 2023 | 19 | 2023 |
| Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties F Khayatian, Z Nagy, A Bollinger Energy and Buildings 251, 111334, 2021 | 17 | 2021 |
| Quantifying the climate and human-system-driven uncertainties in energy planning by using GANs ATD Perera, F Khayatian, S Eggimann, K Orehounig, S Halgamuge Applied Energy 328, 120169, 2022 | 8 | 2022 |
| On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain M Fochesato, F Khayatian, DF Lima, Z Nagy Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022 | 6 | 2022 |
| Benchmarking HVAC controller performance with a digital twin F Khayatian, H Cai, A Bojarski, P Heer, A Bollinger Applied Energy Symposium 2022: Clean Energy towards Carbon Neutrality (CEN2022), 2022 | 6 | 2022 |
| Temporal Resolution of Measurements and the Effects on Calibrating Building Energy Models F Khayatian, A Bollinger, P Heer eSIM 2020 Conference Proceedings, 2020 | 5 | 2020 |
| Unsupervised learning for feature projection: Extracting patterns from multidimensional building measurements C Xiao, F Khayatian Energy and Buildings 224, 110228, 2020 | 5 | 2020 |
| Hybrid probabilistic–possibilistic treatment of uncertainty in building energy models: A case study of sizing peak cooling loads F Khayatian, M MeshkinKiya, P Baraldi, F Di Maio, E Zio ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2018 | 5 | 2018 |
| A data-driven approach for window opening predictions in non-air-conditioned buildings Y Fu, T Zhou, I Lun, F Khayatian, W Deng, W Su Intelligent Buildings International 14 (3), 329-345, 2022 | 3 | 2022 |
| Data-driven predictive control for demand side management: Theoretical and experimental results M Yin, H Cai, A Gattiglio, F Khayatian, RS Smith, P Heer Applied Energy 353, 122101, 2024 | 2 | 2024 |
| Experiment strategy for evaluating advanced building energy management system H Cai, F Khayatian, P Heer Journal of Physics: Conference Series 2042 (1), 012030, 2021 | 2 | 2021 |
| Application of deep machine learning in multi-scale building energy audit F KHAYATIAN Italy, 2018 | 1 | 2018 |
| Integrated assessment of buildings visual and thermal performance with translucent bricks L Hassoun, F Khayatian, M Ganobjak, J Wernery, J Vivian Journal of Physics: Conference Series 2600 (11), 112008, 2023 | | 2023 |
| Data Anonymization and Open Sharing Are Key to a Sustainable Built Environment F Khayatian Smart Buildings and Technologies for Sustainable Cities in China, 33-45, 2023 | | 2023 |
Luca SartoProfessore di Fisica Tecnica, Politecnico di MilanoVerified email at polimi.it
