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ORCIDLeandro Von Krannichfeldt
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2020 – today
- 2026
[j4]Olga Fink, Vinay Sharma
, Ismail Nejjar, Leandro Von Krannichfeldt, Sergei Garmaev, Zepeng Zhang, Amaury Wei, Gaëtan Frusque, Florent Forest, Mengjie Zhao, Chi-Ching Hsu, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Raffael Theiler, Arthur Bizzi, Kevin Steiner:
From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM). Reliab. Eng. Syst. Saf. 271: 112213 (2026)- [j3]Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao, Kevin Steiner, Yusuf Kesmen:
From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM). Reliab. Eng. Syst. Saf. 274: 112376 (2026) - [i8]Hanmin Cai, Federica Bellizio, Yi Guo, Gabriele Humbert, Mina Montazeri, Julie Rousseau, Matthias Brandes, Arnab Chatterjee, Andrea Gattiglio, Leandro Von Krannichfeldt, Emmanouil Thrampoulidis, Varsha N. Behrunani, Goran Strbac, Philipp Heer:
Towards socio-techno-economic power systems with demand-side flexibility. CoRR abs/2604.07792 (2026) - [i7]Lev Telyatnikov, Raffael Theiler, Leandro Von Krannichfeldt, Olga Fink:
Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains. CoRR abs/2605.28345 (2026) - [i6]Raffael Theiler, Ludovico Comito, David Leko, Leandro Von Krannichfeldt, Lev Telyatnikov, Olga Fink:
From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence. CoRR abs/2605.28371 (2026) - [i5]Raffael Theiler, Lev Telyatnikov, Leandro Von Krannichfeldt, Olga Fink:
Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models. CoRR abs/2606.05481 (2026) - 2025
- [i4]Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink:
Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling. CoRR abs/2507.17526 (2025) - [i3]Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao:
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM. CoRR abs/2509.21207 (2025) - 2024
- [i2]Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink:
Combining Physics-based and Data-driven Modeling for Building Energy Systems. CoRR abs/2411.01055 (2024) - 2023
- [j2]Jean-François Toubeau, Fei Teng, Thomas Morstyn, Leandro Von Krannichfeldt, Yi Wang:
Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities. IEEE Trans. Smart Grid 14(1): 798-809 (2023) - [i1]Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang:
Benchmarks and Custom Package for Electrical Load Forecasting. CoRR abs/2307.07191 (2023) - 2022
- [j1]Yi Wang, Mengshuo Jia, Ning Gao, Leandro Von Krannichfeldt, Mingyang Sun, Gabriela Hug:
Federated Clustering for Electricity Consumption Pattern Extraction. IEEE Trans. Smart Grid 13(3): 2425-2439 (2022)
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