Leandro Von Krannichfeldt

According to our database, Leandro Von Krannichfeldt authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From paper to benchmark: agentic, framework-based reproduction of under-specified methods in machine health intelligence.

Raffael Theiler, Ludovico Comito, David Leko, Leandro Von Krannichfeldt, Lev Telyatnikov, Olga Fink

CoRR, May, 2026

Picid: A Modular Evaluation Infrastructure for Reproducible PHM Across Tasks and Domains.

Lev Telyatnikov, Raffael Theiler, Leandro Von Krannichfeldt, Olga Fink

CoRR, May, 2026

Towards socio-techno-economic power systems with demand-side flexibility.

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

CoRR, April, 2026

From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM).

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

Reliab. Eng. Syst. Saf., 2026

From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM).

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

Reliab. Eng. Syst. Saf., 2026

2025

From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.

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

CoRR, September, 2025

Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling.

Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink

CoRR, July, 2025

2024

Combining Physics-based and Data-driven Modeling for Building Energy Systems.

Leandro Von Krannichfeldt, Kristina Orehounig, Olga Fink

CoRR, 2024

2023

Privacy-Preserving Probabilistic Voltage Forecasting in Local Energy Communities.

Jean-François Toubeau, Fei Teng, Thomas Morstyn, Leandro Von Krannichfeldt, Yi Wang

IEEE Trans. Smart Grid, 2023

Benchmarks and Custom Package for Electrical Load Forecasting.

Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang

CoRR, 2023

2022

Federated Clustering for Electricity Consumption Pattern Extraction.

Yi Wang, Mengshuo Jia, Ning Gao, Leandro Von Krannichfeldt, Mingyang Sun, Gabriela Hug

IEEE Trans. Smart Grid, 2022