Supervising

Ongoing Thesis

Dahua Gan, Key technologies for probabilistic load forecasting, Tsinghua University, Bachelor thesis, 2018 (cosupervise)
Jiawei Zhang, Topology identification for non-PMU distribution networks with high penetration of renewable energy, Tsinghua University, Bachelor thesis, 2019 (co-supervise)

Luzian Lebovitz, Machine learning for power network partition, Semester thesis, ETH Zurich, 2019
Michele Chamberlin, Probabilistic building energy demand forecasting, Semester thesis, ETH Zurich, 2019
Felix Sperr, Low-carbon multiple energy systems planning, Semester thesis, ETH Zurich, 2019
Imane Lahmam Bennani, Bridging smart meter data with socio-demographic information of consumers, Semester thesis, ETH Zurich, 2019
Leandro Von Krannichfeldt, Ensemble Learning for Aggregated Load Forecasting, Semester thesis, ETH Zurich, 2019
Aoife Henry, A Novel Online Fuzzy K-Means Algorithm for Real-Time Load Profiling, Semester thesis, ETH Zurich, 2019
Adrian Lang, Data aggregation point placements for smart sensors in the smart grid, Semester thesis, ETH Zurich, 2020
Joachim Schaeffer, Online ensemble learning for short-term load forecasting, Semester thesis, ETH Zurich, 2021
Can Gokbulut, Data Markets for Collaborative Wind Power Forecasting, Semester thesis, ETH Zurich, 2021
Julie Keisler, Benchmark electric power consumption forecasting algorithms, Semester thesis, ETH Zurich, 2021

Jialun Zhang, Generalized Cost-oriented Energy Forecasting, Master thesis, ETH Zurich, 2020
Leandro Von Krannichfeldt, Online Ensemble Learning for Energy Forecasting, Master thesis, ETH Zurich, 2020
Chenyu Zhou, Spatial-Temporal Demand Response of Base Stations in Cellular Networks, Master thesis, ETH Zurich, 2021
Mert Karacelebi, Prediction of possible power system blackouts with machine learning algorithms, Master thesis, ETH Zurich, 2021 (cosupervise)
Shams Taha, Learning to Run a Power Network by Predicting Power Flows under Varying Grid Topology, Master thesis, ETH Zurich, 2021 (cosupervise)