Thierry Zufferey
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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
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
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
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
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
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
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
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
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
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
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
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
Potential impact of electric vehicles on the swiss energy system
F Ferrando, T Zufferey, G Hug
Master Thesis, ETH Zurich, 2019
Load forecasting of privacy-aware consumers
JX Chin, T Zufferey, E Shyti, G Hug
2019 IEEE Milan PowerTech, 1-6, 2019
Investigation of forecasting techniques in distribution grids
J Dunant, T Zufferey
Semester project of power system laboratory, ETHZ, 2018
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
Data analytics and machine learning for the operation and planning of distribution grids
T Zufferey
ETH Zurich, 2021
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
SmartMetering Data Analysis by Machine Learning Techniques
T Zufferey
ETH, Zurich, 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
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