  | Glauner, P. (2019). Artificial Intelligence for the Detection of Electricity Theft and Irregular Power Usage in Emerging Markets [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/38544 |
  | Glauner, P. (2018). Künstliche Intelligenz - die nächste Revolution (The Artificial Intelligence Revolution). In P. Plugmann, Innovationsumgebungen gestalten: Impulse für Start-ups und etablierte Unternehmen im globalen Wettbewerb. Springer.  Peer reviewed |
 | Glauner, P., State, R., Valtchev, P., & Duarte, D. (2018). On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage. In Proceedings 13th International FLINS Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018). Peer reviewed |
 | Glauner, P., Valtchev, P., & State, R. (2018). Impact of Biases in Big Data. In Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Peer reviewed |
 | Glauner, P., & State, R. (2018). Introduction to Machine Learning for Power Engineers [Paper presentation]. 10th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC 2018), Kota Kinabalu, Malaysia. |
 | Glauner, P., Meira, J. A., & State, R. (2018). Detection of Irregular Power Usage using Machine Learning [Paper presentation]. IEEE Conference on Innovative Smart Grid Technologies, Asia (ISGT Asia 2018), Singapore. |
 | Glauner, P., Meira, J. A., & State, R. (2018). Machine Learning for Data-Driven Smart Grid Applications [Paper presentation]. IEEE Conference on Innovative Smart Grid Technologies, Asia (ISGT Asia 2018), Singapore. |
 | Glauner, P., Migliosi, A., Meira, J. A., Valtchev, P., State, R., & Bettinger, F. (2017). Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? In Proceedings of the 19th International Conference on Intelligent System Applications to Power Systems (ISAP 2017). Peer reviewed |
 | Glauner, P., Meira, J. A., State, R., & Mano, R. (September 2017). Introduction to Detection of Non-Technical Losses using Data Analytics [Paper presentation]. 7th IEEE Conference on Innovative Smart Grid Technologies, Europe (ISGT Europe 2017), Torino, Italy. |
 | Glauner, P., Meira, J. A., Valtchev, P., State, R., & Bettinger, F. (2017). The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. International Journal of Computational Intelligence Systems, 10 (1), 760-775. doi:10.2991/ijcis.2017.10.1.51 Peer reviewed |
 | Meira, J. A., Glauner, P., State, R., Valtchev, P., Dolberg, L., Bettinger, F., & Duarte, D. (2017). Distilling Provider-Independent Data for General Detection of Non-Technical Losses. In Power and Energy Conference, Illinois 23-24 February 2017. Peer reviewed |
 | Galetzka, M., & Glauner, P. (2017). A Simple and Correct Even-Odd Algorithm for the Point-in-Polygon Problem for Complex Polygons. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017), Volume 1: GRAPP. Peer reviewed |
 | Glauner, P., Du, M., Paraschiv, V., Boytsov, A., Lopez Andrade, I., Meira, J. A., Valtchev, P., & State, R. (2017). The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. In Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017). Peer reviewed |
 | Glauner, P., Dahringer, N., Puhachov, O., Meira, J. A., Valtchev, P., State, R., & Duarte, D. (2017). Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. In Proceedings of the 17th IEEE International Conference on Data Mining Workshops (ICDMW 2017). Peer reviewed |
 | Glauner, P., & State, R. (09 December 2016). Deep Learning on Big Data Sets in the Cloud with Apache Spark and Google TensorFlow [Paper presentation]. 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016), Shanghai, China. |
 | Glauner, P., & State, R. (09 October 2016). Load Forecasting with Artificial Intelligence on Big Data [Paper presentation]. Sixth IEEE Conference on Innovative Smart Grid Technologies, Europe (ISGT Europe 2016), Ljubljana, Slovenia. |
Glauner, P., & State, R. (19 January 2016). Deep Learning Concepts from Theory to Practice [Paper presentation]. FinTech R&D Innovation Conference, Luxembourg, Luxembourg. |
 | Glauner, P., Boechat, A., Dolberg, L., State, R., Bettinger, F., Rangoni, Y., & Duarte, D. (2016). Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets. In Proceedings of the Seventh IEEE Conference on Innovative Smart Grid Technologies (ISGT 2016). Peer reviewed |
 | Glauner, P. (2016). Detecting Electricity Theft [Poster presentation]. Machine Learning Summer School, Cadiz, Spain. |
 | Glauner, P., Meira, J. A., Dolberg, L., State, R., Bettinger, F., Rangoni, Y., & Duarte, D. (2016). Neighborhood Features Help Detecting Non-Technical Losses in Big Data Sets. In Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies (BDCAT 2016). doi:10.1145/3006299.3006310 Peer reviewed |
 | Glauner, P. (2016). Deep Learning For Smile Recognition. In Proceedings of the 12th International FLINS Conference (FLINS 2016). doi:10.1142/9789813146976_0053 Peer reviewed |