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Books and Theses
- 2023
[b1]Johannes Kruse:
Machine learning of power grid frequency dynamics and control: prediction, explanation and stochastic modelling. University of Cologne, Germany, 2023
Journal Articles
- 2022
- [j3]Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse:
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. Energy Inform. 5 (2022) - 2021
- [j2]Johannes Kruse
, Benjamin Schäfer, Dirk Witthaut:
Revealing drivers and risks for power grid frequency stability with explainable AI. Patterns 2(11): 100365 (2021) - 2020
- [j1]Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Predictability of Power Grid Frequency. IEEE Access 8: 149435-149446 (2020)
Conference and Workshop Papers
- 2024
- [c8]Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek:
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. CHIIR 2024: 422-424 - [c7]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
EB-NeRD a large-scale dataset for news recommendation. RecSys Challenge 2024: 1-11 - [c6]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. RecSys 2024: 1195-1199 - [c5]Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev:
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems. RecSys 2024: 1242-1244 - 2023
- [c4]Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer:
Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence. e-Energy (Companion) 2023: 26-31 - [c3]Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen:
Creating the next generation of news experience on ekstrabladet.dk with recommender systems. RecSys 2023: 1067-1070 - [c2]Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero:
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. RecSys 2023: 1252-1254 - 2021
- [c1]Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Exploring deterministic frequency deviations with explainable AI. SmartGridComm 2021: 133-139
Editorship
- 2024
- [e1]Lien Michiels, Johannes Kruse, Jordi Viader Guerrero, Nava Tintarev:
Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19, 2023. CEUR Workshop Proceedings 3639, CEUR-WS.org 2024 [contents]
Informal and Other Publications
- 2024
- [i10]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations. CoRR abs/2409.20483 (2024) - [i9]Johannes Kruse, Kasper Lindskow, Saikishore Kalloori, Marco Polignano, Claudio Pomo, Abhishek Srivastava, Anshuk Uppal, Michael Riis Andersen, Jes Frellsen:
EB-NeRD: A Large-Scale Dataset for News Recommendation. CoRR abs/2410.03432 (2024) - 2023
- [i8]Sebastian Pütz, Johannes Kruse, Dirk Witthaut, Veit Hagenmeyer, Benjamin Schäfer:
Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence. CoRR abs/2303.17455 (2023) - 2022
- [i7]Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut, Johannes Kruse:
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI. CoRR abs/2204.10727 (2022) - [i6]Maurizio Titz, Franz Kaiser, Johannes Kruse, Dirk Witthaut:
Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning. CoRR abs/2210.09266 (2022) - [i5]Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut:
Physics-inspired machine learning for power grid frequency modelling. CoRR abs/2211.01481 (2022) - 2021
- [i4]Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Revealing drivers and risks for power grid frequency stability with explainable AI. CoRR abs/2106.04341 (2021) - [i3]Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Exploring deterministic frequency deviations with explainable AI. CoRR abs/2106.09538 (2021) - [i2]Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Secondary control activation analysed and predicted with explainable AI. CoRR abs/2109.04802 (2021) - 2020
- [i1]Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Predictability of Power Grid Frequency. CoRR abs/2004.09259 (2020)
Coauthor Index
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