| Forecasting of smart meter time series based on neural networks T Zufferey, A Ulbig, S Koch, G Hug Data Analytics for Renewable Energy Integration: 4th ECML PKDD Workshop …, 2017 | 55 | 2017 |
| Sensitivity analysis of electric vehicle impact on low-voltage distribution grids J Stiasny, T Zufferey, G Pareschi, D Toffanin, G Hug, K Boulouchos Electric Power Systems Research 191, 106696, 2021 | 47 | 2021 |
| Online ensemble approach for probabilistic wind power forecasting L Von Krannichfeldt, Y Wang, T Zufferey, G Hug IEEE Transactions on Sustainable Energy 13 (2), 1221-1233, 2021 | 26 | 2021 |
| Probabilistic state forecasting and optimal voltage control in distribution grids under uncertainty T Zufferey, S Renggli, G Hug Electric Power Systems Research 188, 106562, 2020 | 21 | 2020 |
| Generating stochastic residential load profiles from smart meter data for an optimal power matching at an aggregate level T Zufferey, D Toffanin, D Toprak, A Ulbig, G Hug 2018 Power Systems Computation Conference (PSCC), 1-7, 2018 | 17 | 2018 |
| Short-term nodal voltage forecasting for power distribution grids: An ensemble learning approach Y Wang, L Von Krannichfeldt, T Zufferey, JF Toubeau Applied Energy 304, 117880, 2021 | 13 | 2021 |
| Unsupervised learning methods for power system data analysis T Zufferey, A Ulbig, S Koch, G Hug Big data application in power systems, 107-124, 2018 | 13 | 2018 |
| Estimation of voltage sensitivities to power injections using smart meter data G Valverde, T Zufferey, S Karagiannopoulos, G Hug 2018 IEEE International Energy Conference (ENERGYCON), 1-6, 2018 | 12 | 2018 |
| Inadequacy of standard algorithms and metrics for short-term load forecasts in low-voltage grids T Zufferey, A Lepouze, G Hug 2019 IEEE Milan PowerTech, 1-6, 2019 | 9 | 2019 |
| Data-driven demand-side flexibility quantification: Prediction and approximation of flexibility envelopes N Hekmat, H Cai, T Zufferey, G Hug, P Heer 2023 IEEE Belgrade PowerTech, 1-6, 2023 | 7 | 2023 |
| Unsupervised disaggregation of water heater load from smart meter data processing T Zufferey, G Valverde, G Hug The 12th Mediterranean Conference on Power Generation, Transmission …, 2020 | 7 | 2020 |
| Impact of data availability and pseudo‐measurement synthesis on distribution system state estimation T Zufferey, G Hug IET Smart Grid 4 (1), 29-44, 2021 | 6 | 2021 |
| Potential impact of electric vehicles on the swiss energy system F Ferrando, T Zufferey, G Hug Master Thesis, ETH Zurich, 2019 | 5 | 2019 |
| Load forecasting of privacy-aware consumers JX Chin, T Zufferey, E Shyti, G Hug 2019 IEEE Milan PowerTech, 1-6, 2019 | 4 | 2019 |
| Investigation of forecasting techniques in distribution grids J Dunant, T Zufferey Semester project of power system laboratory, ETHZ, 2018 | 4 | 2018 |
| Data analytics and machine learning for the operation and planning of distribution grids T Zufferey ETH Zurich, 2021 | 3 | 2021 |
| Using quantile forecasts for dynamic equivalents of active distribution grids under uncertainty J Vorwerk, T Zufferey, P Aristidou, G Hug arXiv preprint arXiv:2207.03915, 2022 | 2 | 2022 |
| Sensitivity analysis of EV impact on distribution grids based on Monte-Carlo simulations J Stiasny, T Zufferey, G Pareschi, D Toffanin, G Hug, K Boulouchos Master Thesis, ETH Zurich, 2019 | 2 | 2019 |
| SmartMetering Data Analysis by Machine Learning Techniques T Zufferey ETH, Zurich, 2015 | 2 | 2015 |
| Studying the Impact of Smart Meter Placement on Low-Voltage Grid State Estimation H Zhang, T Zufferey 2022 International Conference on Smart Energy Systems and Technologies (SEST …, 2022 | 1 | 2022 |
Gabriela HugProfessor, ETH ZürichDirección de correo verificada de ethz.ch
