144 citations · 820 across the 81 of their papers we have counts for
87 papers
Distributed coordination for transmission-distribution systems with nonlinear flexibility aggregation
Xinliang Dai, Yanlin Jiang, Frederik Zahn +2
High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations. Linear mode…
Probabilistic Low-Voltage Peak Load Forecasting with Time Series Foundation Models Evaluated on Application-Oriented Metrics
Benedikt Kaas, Manuel Treutlein, Hannes Benedikt Gerber +5
Low-voltage load forecasting is an important component in current and future energy systems with a high degree of electrification and decentralized generation. However, current for…
Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems
Pascal Henrich, Jonas Sievers, Maximilian Beichter +3
Transformer-based reinforcement learning has emerged as a strong candidate for sequential control in residential energy management. In particular, the Decision Transformer can lear…
Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
Xuanhao Mu, Jakob Geiges, Nan Liu +2
In energy system analysis, coupling models with mismatched spatial resolutions is a significant challenge. A common solution is assigning weights to high-resolution geographic unit…
A Multi-Agent System for Building-Age Cohort Mapping to Support Urban Energy Planning
Kundan Thota, Thorsten Schlachter, Veit Hagenmeyer
Determining the age distribution of the urban building stock is crucial for sustainable municipal heat planning and upgrade prioritization. However, existing approaches often rely…
Real-world energy data of 200 feeders from low-voltage grids with metadata in Germany over two years
Manuel Treutlein, Pascal Bothe, Marc Schmidt +4
The last mile of the distribution grid is crucial for a successful energy transition, as more low-carbon technology like photovoltaic systems, heat pumps, and electric vehicle char…
Explainable time-series forecasting with sampling-free SHAP for Transformers
Matthias Hertel, Sebastian Pütz, Ralf Mikut +2
Time-series forecasts are essential for planning and decision-making in many domains. Explainability is key to building user trust and meeting transparency requirements. Shapley Ad…
ComEMS4Build: Comfort-Oriented Energy Management System for Residential Buildings using Hydrogen for Seasonal Storage
Jovana Kovačević, Felix Langner, Erfan Tajalli-Ardekani +6
Integrating flexible loads and storage systems into the residential sector contributes to the alignment of volatile renewable generation with demand. Besides batteries serving as a…
Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling
Janik Pinter, Maximilian Beichter, Ralf Mikut +2
Residential prosumers with PV-battery systems increasingly manage their electricity exchange with the power grid to minimize costs. This study investigates the performance of Model…
A TSO-DSO Coordination Framework via Analytical Representation and Monetization of PQV-Based Distribution System Flexibility
Burak Dindar, Can Berk Saner, Hüseyin Kemal Çakmak +1
As the role of distribution system (DS) flexibility in transmission system operator (TSO) network management becomes increasingly vital, data privacy concerns hinder seamless inter…
A Global Analysis of Cyber Threats to the Energy Sector: "Currents of Conflict" from a Geopolitical Perspective
Gustavo Sánchez, Ghada Elbez, Veit Hagenmeyer
The escalating frequency and sophistication of cyber threats increased the need for their comprehensive understanding. This paper explores the intersection of geopolitical dynamics…
Error Accumulation using Linearized Models for Aggregating Flexibility in Distribution Systems
Yanlin Jiang, Xinliang Dai, Frederik Zahn +2
This paper investigates flexibility aggregation approaches based on linear models. We begin by examining the theoretical foundations of linear AC power flow, two variants of so-cal…
Self-Supervised Temporal Super-Resolution of Energy Data using Generative Adversarial Transformer
Xuanhao Mu, Gökhan Demirel, Yuzhe Zhang +3
To bridge the temporal granularity gap in energy network design and operation based on Energy System Models, resampling of time series is required. While conventional upsampling me…
Hardware test and validation of the angular droop control: Analysis and experiments
Taouba Jouini, Jan Wachter, Sophie An +1
We present a hardware-based validation of angular droop control for grid-forming DC/AC converters, a control strategy that establishes active power-to-angle droop. Angular droop co…
Numerical estimation of the lock-in domain of a DC/AC inverter
Anton Ponomarev, Lutz Gröll, Veit Hagenmeyer
We estimate the lock-in domain of the origin of a current control system which is used in common DC/AC inverter designs. The system is a cascade connection of a 4-dimensional linea…
Enhanced Flexibility Aggregation Using LinDistFlow Model with Loss Compensation
Yanlin Jiang, Xinliang Dai, Frederik Zahn +1
With the increasing integration of renewable energy resources and the growing need for data privacy between system operators, flexibility aggregation methods have emerged as a prom…
Economy and sustainability analysis with a novel modular configurable multi-modal white-box building model
Haozhen Cheng, Veit Hagenmeyer, Hüseyin K. Çakmak
This paper presents a novel modeling approach for building performance simulation, characterized as a white-box model with a high degree of modularity and flexibility, enabling dir…
Privacy-Preserving Utilization of Distribution System Flexibility for Enhanced TSO-DSO Interoperability: A Novel Machine Learning-Based Optimal Power Flow Approach
Burak Dindar, Can Berk Saner, Hüseyin K. Çakmak +1
Due to the transformation of the power system, the effective use of flexibility from the distribution system (DS) is becoming crucial for efficient network management. Leveraging t…
New Co-Simulation Variants for Emissions and Cost Reduction of Sustainable District Heating Planning
Haozhen Cheng, Verena Buccoliero, Alexander Kocher +2
Classical heating of residential areas is very energy-intensive, so alternatives are needed, including renewable energies and advanced heating technologies. Thus, the present paper…
Construction and Control of Validated Highly Configurable Multi-Physics Building Models for Multi-Energy System Analysis in a Co-Simulation Setup
Haozhen Cheng, Jan Stock, André Xhonneux +2
Improving energy efficiency by monitoring system behavior and predicting future energy scenarios in light of increased penetration of renewable energy sources are becoming increasi…
Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization
Maximilian Beichter, Nils Friederich, Janik Pinter +7
Time series foundation models provide a universal solution for generating forecasts to support optimization problems in energy systems. Those foundation models are typically traine…
Distributed AC Optimal Power Flow: A Scalable Solution for Large-Scale Problems
Xinliang Dai, Yuning Jiang, Yi Guo +3
This paper introduces a novel distributed optimization framework for large-scale AC Optimal Power Flow (OPF) problems, offering both theoretical convergence guarantees and rapid co…
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching
Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado +6
Renewable energies and their operation are becoming increasingly vital for the stability of electrical power grids since conventional power plants are progressively being displaced…
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability
Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert +4
Optimizing smart grid operations relies on critical decision-making informed by uncertainty quantification, making probabilistic forecasting a vital tool. Designing such forecastin…