144 citations · 820 across the 81 of their papers we have counts for
14 papers · 1 filter
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models
Stefan Meisenbacher, Benedikt Heidrich, Tim Martin +2
Accurate PhotoVoltaic (PV) power generation forecasting is vital for the efficient operation of Smart Grids. The automated design of such accurate forecasting models for individual…
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow
Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig +1
The increase in renewable energy sources (RESs), like wind or solar power, results in growinguncertainty also in transmission grids. This affects grid stability through fluctuating…
Distribution Grid Monitoring Based on Widely Available Smart Plugs
Simon Grafenhorst, Kevin Förderer, Veit Hagenmeyer
The growing popularity of e-mobility, heat pumps, and renewable generation such as photovoltaics is leading to scenarios which the distribution grid was not originally designed for…
Predicting the power grid frequency of European islands
Thorbjørn Lund Onsaker, Heidi S. Nygård, Damià Gomila +7
Modelling, forecasting and overall understanding of the dynamics of the power grid and its frequency are essential for the safe operation of existing and future power grids. Much p…
Inverse methods: How feasible are spatially low-resolved capacity expansion modelling results when disaggregated at high spatial resolution?
Martha Maria Frysztacki, Veit Hagenmeyer, Tom Brown
Spatially highly-resolved capacity expansion models are often simplified to a lower spatial resolution because they are computationally intensive. The simplification mixes sites wi…
Microscopic fluctuations in power-grid frequency recordings at the sub-second scale
Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin +5
Complex systems, such as the power grid, are essential for our daily lives. Many complex systems display (multi-)fractal behavior, correlated fluctuations and power laws. Whether t…
Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow
Rebecca Bauer, Tillmann Mühlpfordt, Nicole Ludwig +1
The increase in renewable energy sources (RESs), like wind or solar power, results in growing uncertainty also in transmission grids. This affects grid stability through fluctuatin…
Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe
Philipp C. Böttcher, Leonardo Rydin Gorjão, Christian Beck +5
When Russia invaded Ukraine on the 24\textsuperscript{th} of February 2022, this led to many acts of solidarity with Ukraine, including support for its electricity system. Just 20…
Rapid Scalable Distributed Power Flow with Open-Source Implementation
Xinliang Dai, Yichen Cai, Yuning Jiang +1
This paper introduces a new method for solving the distributed AC power flow (PF) problem by further exploiting the problem formulation. We propose a new variant of the ALADIN algo…
Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN
Junyi Zhai, Xinliang Dai, Yuning Jiang +4
The increasing application of voltage source converter (VSC) high voltage direct current (VSC-HVDC) technology in power grids has raised the importance of incorporating DC grids an…
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Matias Quintana, Till Stoeckmann, June Young Park +3
Data-driven building energy prediction is an integral part of the process for measurement and verification, building benchmarking, and building-to-grid interaction. The ASHRAE Grea…
Automated generation of large-scale distribution grid models based on open data and open source software using an optimization approach
Hüseyin K. Çakmak, Luc Janecke, Veit Hagenmeyer
The increasing share of renewable energy sources on distribution grid level as well as the emerging active role of prosumers lead to both higher distribution grid utilization, and…
Review of automated time series forecasting pipelines
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps +4
Time series forecasting is fundamental for various use cases in different domains such as energy systems and economics. Creating a forecasting model for a specific use case require…
What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals
Tessina H. Scholl, Veit Hagenmeyer, Lutz Gröll
The article proposes an approach to complete-type and related Lyapunov-Krasovskii functionals that neither requires knowledge of the delay-Lyapunov matrix function nor does it invo…