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06/19/2023
Transformer Training Strategies for Forecasting Multiple Load Time Series
Recent work uses Transformers for load forecasting, which are the state ...
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01/11/2023
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands
Mitigating climate change requires a transition away from fossil fuels t...
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12/09/2022
Understanding electricity prices beyond the merit order principle using explainable AI
Electricity prices in liberalized markets are determined by the supply a...
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09/27/2022
Predicting the power grid frequency of European islands
Modelling, forecasting and overall understanding of the dynamics of the ...
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07/07/2022
Microscopic fluctuations in power-grid frequency recordings at the sub-second scale
Complex systems, such as the power grid, are essential for our daily liv...
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04/22/2022
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
The energy transition introduces more volatile energy sources into the p...
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10/27/2021
Validation Methods for Energy Time Series Scenarios from Deep Generative Models
The design and operation of modern energy systems are heavily influenced...
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09/10/2021
Secondary control activation analysed and predicted with explainable AI
The transition to a renewable energy system poses challenges for power g...
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06/15/2021
Fluctuations of water quality time series in rivers follow superstatistics
Superstatistics is a general method from nonequilibrium statistical phys...
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06/14/2021
Exploring deterministic frequency deviations with explainable AI
Deterministic frequency deviations (DFDs) critically affect power grid f...
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04/17/2020