144 citations · 820 across the 81 of their papers we have counts for
10 papers · 1 filter
Open Data-Driven Automation of Residential Distribution Grid Modeling with Minimal Data Requirements
Moritz Weber, Luc Janecke, Hüseyin K. Çakmak +1
In the present paper, we introduce a new method for the automated generation of residential distribution grid models based on novel building load estimation methods and a two-stage…
Non-standard power grid frequency statistics in Asia, Australia, and Europe
Xinyi Wen, Mehrnaz Anvari, Leonardo Rydin Gorjao +3
The power-grid frequency reflects the balance between electricity supply and demand. Measuring the frequency and its variations allows monitoring of the power balance in the system…
Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems
Xinliang Dai, Junyi Zhai, Yuning Jiang +3
This paper introduces a distributed operational solution for coordinating integrated transmission-distribution (ITD) systems regarding data privacy. To tackle the nonconvex challen…
Transformer Training Strategies for Forecasting Multiple Load Time Series
Matthias Hertel, Maximilian Beichter, Benedikt Heidrich +4
In the smart grid of the future, accurate load forecasts on the level of individual clients can help to balance supply and demand locally and to prevent grid outages. While the num…
Hypergraph-Based Fast Distributed AC Power Flow Optimization
Xinliang Dai, Yingzhao Lian, Yuning Jiang +2
This paper presents a novel distributed approach for solving AC power flow (PF) problems. The optimization problem is reformulated into a distributed form using a communication str…
Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence
Sebatian Pütz, Johannes Kruse, Dirk Witthaut +2
A stable supply of electrical energy is essential for the functioning of our society. Therefore, the electrical power grid's operation and energy and balancing markets are subject…
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information
Benedikt Heidrich, Kaleb Phipps, Oliver Neumann +3
Probabilistic forecasts are essential for various downstream applications such as business development, traffic planning, and electrical grid balancing. Many of these probabilistic…
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks
Kaleb Phipps, Benedikt Heidrich, Marian Turowski +3
In various applications, probabilistic forecasts are required to quantify the inherent uncertainty associated with the forecast. However, numerous modern forecasting methods are st…
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands
Ulrich Oberhofer, Leonardo Rydin Gorjão, G. Cigdem Yalcin +3
Mitigating climate change requires a transition away from fossil fuels towards renewable energy. As a result, power generation becomes more volatile and options for microgrids and…
Occupant-Oriented Demand Response with Multi-Zone Thermal Building Control
Moritz Frahm, Thomas Dengiz, Philipp Zwickel +3
In future energy systems with high shares of renewable energy sources, the electricity demand of buildings has to react to the fluctuating electricity generation in view of stabili…