37 citations · 63 across the 7 of their papers we have counts for
17 papers
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…
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…
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…
Concepts for Automated Machine Learning in Smart Grid Applications
Stefan Meisenbacher, Janik Pinter, Tim Martin +2
Undoubtedly, the increase of available data and competitive machine learning algorithms has boosted the popularity of data-driven modeling in energy systems. Applications are forec…
pyWATTS: Python Workflow Automation Tool for Time Series
Benedikt Heidrich, Andreas Bartschat, Marian Turowski +7
Time series data are fundamental for a variety of applications, ranging from financial markets to energy systems. Due to their importance, the number and complexity of tools and me…
Data-Driven Copy-Paste Imputation for Energy Time Series
Moritz Weber, Marian Turowski, Hüseyin K. Çakmak +3
A cornerstone of the worldwide transition to smart grids are smart meters. Smart meters typically collect and provide energy time series that are vital for various applications, su…