Veit Hagenmeyer

Affiliations:
  • Karlsruhe Institute of Technology, IAI, Germany
  • BASF SE, Competence Center Automatation Technology, Ludwigshafen, Germany
  • University of California at Berkeley, Department of Electrical Engineering and Computer Science, CA, USA
  • University of Stuttgart, Institute for System Dynamics, Germany


According to our database1, Veit Hagenmeyer authored at least 124 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe.
CoRR, 2022

Analytical Uncertainty Propagation for Multi-Period Stochastic Optimal Power Flow.
CoRR, 2022

Rapid Scalable Distributed Power Flow with Open-Source Implementation.
CoRR, 2022

ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles.
CoRR, 2022

Automated generation of large-scale distribution grid models based on open data and open source software using an optimization approach.
CoRR, 2022

What ODE-Approximation Schemes of Time-Delay Systems Reveal about Lyapunov-Krasovskii Functionals.
CoRR, 2022

Review of automated time series forecasting pipelines.
CoRR, 2022

Energy informatics: key elements for tomorrow's energy system.
Commun. ACM, 2022

Binary Exploitation in Industrial Control Systems: Past, Present and Future.
IEEE Access, 2022

How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022

VILLASnode-based Co-simulation of Local Energy Communities.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022

Using Open Data for Modeling and Simulation of the All Electrical Society in eASiMOV.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022

2021
Data-Driven Copy-Paste Imputation for Energy Time Series.
IEEE Trans. Smart Grid, 2021

Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles.
IEEE Trans. Smart Grid, 2021

Towards Optimality Preserving Aggregation for Scheduling Distributed Energy Resources.
IEEE Trans. Control. Netw. Syst., 2021

Partially distributed outer approximation.
J. Glob. Optim., 2021

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting.
Image Vis. Comput., 2021

An extended Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualizationz Technologies.
Internet Things, 2021

A generic flexible and scalable framework for hierarchical parallelization of population-based metaheuristics.
Internet Things, 2021

Smart Data Representations: Impact on the Accuracy of Deep Neural Networks.
CoRR, 2021

Concepts for Automated Machine Learning in Smart Grid Applications.
CoRR, 2021

pyWATTS: Python Workflow Automation Tool for Time Series.
CoRR, 2021

A Review of Rule Learning-Based Intrusion Detection Systems and Their Prospects in Smart Grids.
IEEE Access, 2021

A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Designing the Interplay of Energy Plane and Communication Plane in the Energy Packet Grid.
Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Enabling Sustainability-Driven Control Strategies in Multimodal Energy Systems Simulations.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

On Optimal Grid Partitioning for Distributed Optimization of Reactive Power Dispatch.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: Poster.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

Energy hub gas: a multi-domain system modelling and co-simulation approach.
Proceedings of the MSCPES@CPSIoTWeek '21: Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Virtual Event, May 19, 2021

A Bayesian Rule Learning Based Intrusion Detection System for the MQTT Communication Protocol.
Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies.
Trans. Large Scale Data Knowl. Centered Syst., 2020

A novel optimization method for urban resilient and fair power distribution preventing critical network states.
Int. J. Crit. Infrastructure Prot., 2020

Errata for "Comments on Truncation Errors for Polynomial Chaos Expansions".
IEEE Control. Syst. Lett., 2020

Distributed Power Flow and Distributed Optimization - Formulation, Solution, and Open Source Implementation.
CoRR, 2020

Approximating Power Flow and Transmission Losses in Coordinated Capacity Expansion Problems.
CoRR, 2020

Power grid frequency data base.
CoRR, 2020

PolyChaos.jl - A Julia Package for Polynomial Chaos in Systems and Control.
CoRR, 2020

A Scalable Method for Scheduling Distributed Energy Resources using Parallelized Population-based Metaheuristics.
CoRR, 2020

Model compendium, data, and optimization benchmarks for sector-coupled energy systems.
Comput. Chem. Eng., 2020

Grundprinzipien für die Abschätzung von Einzugsbereichen in Totzeitsystemen.
Autom., 2020

On complexity reduction of the discrete-event subsystem of Flat Hybrid Automata for control design.
Autom., 2020

Transportmodelle für Flüssigkeitsfilme.
Autom., 2020

A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies.
Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020

Towards Smart Buildings: A Versatile Acquisition Setup for Indoor Climate Data.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

On Grid Partitioning in AC Optimal Power Flow.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Dynamic Modeling of Wind and Solar Power Generation with Grid Support for Large-Scale Integration in Power Systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Point and contextual anomaly detection in building load profiles of a university campus.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Design of a Web-Service for Formal Descriptions of Domain-Specific Data.
Proceedings of the Environmental Software Systems. Data Science in Action, 2020

Energieinformatik - Von der Forschung in die Umsetzung.
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020

Forecasting energy time series with profile neural networks.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

A New Julia-Based Parallel Time-Domain Simulation Algorithm for Analysis of Power System Dynamics.
Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2020

On Verification of Designed Energy Systems Using Distributed Co-Simulations.
Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2020

Descriptive Statistics Time-based Meta Features (DSTMF): Constructing a better Set of Meta Features for Model Selection in Energy Time Series Forecasting.
Proceedings of the APPIS 2020: 3rd International Conference on Applications of Intelligent Systems, 2020

2019
A Comparison of Partitioning Strategies in AC Optimal Power Flow.
CoRR, 2019

Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility.
CoRR, 2019

Time Delay in the Swing Equation: A Variety of Bifurcations.
CoRR, 2019

On Norm-Based Estimations for Domains of Attraction in Nonlinear Time Delay Systems.
CoRR, 2019

Flat Hybrid Automata as a Class of Reachable Systems: Introductory Theory and Examples.
CoRR, 2019

Chance-Constrained AC Optimal Popwer Flow - A Polynomial Chaos Approach.
CoRR, 2019

Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter.
CoRR, 2019

Modeling and control of multimodal and hybrid energy systems.
Autom., 2019

A new distributed co-simulation architecture for multi-physics based energy systems integration.
Autom., 2019

Detection and Localization of Manipulated Smart Meters Using Super State Hidden Markov Models.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

A Distributed Modular Scalable and Generic Framework for Parallelizing Population-Based Metaheuristics.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

A Comparison of Economic MPC Formulations for Thermal Building Control.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devices.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology - ISAT 2019, 2019

Superlinear Speedup of Parallel Population-Based Metaheuristics: A Microservices and Container Virtualization Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Industrial Demand-Side Flexibility: A Benchmark Data Set.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

A New Communication Concept for Efficient Configuration of Energy Systems Integration Co-Simulation.
Proceedings of the 23rd IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications DS-RT 2019, 2019

On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles.
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

2018
Energy forecasting tools and services.
WIREs Data Mining Knowl. Discov., 2018

Concept and benchmark results for Big Data energy forecasting based on Apache Spark.
J. Big Data, 2018

Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory.
Comput. Sci. Res. Dev., 2018

Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations.
CoRR, 2018

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.
CoRR, 2018

The Price of Uncertainty: Chance-constrained OPF vs. In-hindsight OPF.
CoRR, 2018

A Generalized Framework for Chance-constrained Optimal Power Flow.
CoRR, 2018

Comparison of lossless compression schemes for high rate electrical grid time series for smart grid monitoring and analysis.
Comput. Electr. Eng., 2018

Optimal power flow: an introduction to predictive, distributed and stochastic control challenges.
Autom., 2018

A Cost-efficient Software Testbed for Cyber-Physical Security in IEC 61850-based Substations.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows.
Proceedings of the IEEE International Conference on Software Architecture, 2018

A generic distributed microservices and container based framework for metaheuristic optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A Consistent View of the Smart Grid: Bridging the Gap between IEC CIM and IEC 61850.
Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications, 2018

A Knowledge-Based Decision Support System for Micro and Nano Manufacturing Process Chains.
Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications, 2018

Demand Response clustering: Automatically finding optimal cluster hyper-parameter values.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

SCiBER: A new public data set of municipal building consumption.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Assessment of a multi-agent mixed-integer optimization algorithm for battery scheduling.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

A new solution for the Energy Packet-based Dispatching using power/signal dual modulation.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

How much demand side flexibility do we need?: Analyzing where to exploit flexibility in industrial processes.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

A Matlab-Based Simulation Tool For The Analysis Of Unsymmetrical Power System Transients In Large Networks.
Proceedings of the European Conference on Modelling and Simulation, 2018

Smart modular reconfigurable fully-digital manufacturing system with a knowledge-based framework: example of a fabrication of microfluidic chips.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

An Integrated Workflow to Automatically Fabricate Flexible Electronics by Functional Printing and SMT Component Mounting.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

A New Classification of Attacks against the Cyber-Physical Security of Smart Grids.
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018

2017
Photovoltaic power forecasting using simple data-driven models without weather data.
Comput. Sci. Res. Dev., 2017

Comments on Truncation Errors for Polynomial Chaos Expansions.
CoRR, 2017

Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems.
CoRR, 2017

Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework.
Proceedings of the 2017 European Modelling Symposium (EMS), 2017

Enhancing Model Interchangeability For Powerflow Studies: An Example Of A New Hungarian Network Model In Powerfactory And eASiMOV.
Proceedings of the European Conference on Modelling and Simulation, 2017

Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Prof. Dr.-Ing. habil. Georg Bretthauer zum 70. Geburtstag.
Autom., 2016

Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft - Herausforderungen und Lösungswege.
Autom., 2016

Solving stochastic AC power flow via polynomial chaos expansion.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis.
EURASIP J. Adv. Signal Process., 2015

Ein Ansatz zur automatisierten Erstellung umfangreicher und komplexer Simulationsmodelle für elektrische Übertragungsnetze aus OpenStreetMap-Daten.
Autom., 2015

A Concept for the Control, Monitoring and Visualization Center in Energy Lab 2.0.
Proceedings of the Energy Informatics, 2015

2014
Constrained reachability and trajectory generation for flat systems.
Autom., 2014

Nichtlineare modellprädiktive Regelung für industrielle Semibatch-Prozesse.
Autom., 2014

A discussion of the actual status of process control in theory and practice: a personal view from German process industry.
Autom., 2014

Editorial.
Autom., 2014

2013
Flatness-based deadbeat control revisited: Robust and high-performance design for electrical drives.
Proceedings of the American Control Conference, 2013

2011
Flatness-Based Feedforward in a Two-Degree-of-Freedom Control of a Pumped Storage Power Plant.
IEEE Trans. Control. Syst. Technol., 2011

2010
Robustness Analysis With Respect to Exogenous Perturbations for Flatness-Based Exact Feedforward Linearization.
IEEE Trans. Autom. Control., 2010

2009
Design of adaptive feedforward control under input constraints for a benchmark CSTR based on a BVP solver.
Comput. Chem. Eng., 2009

SISO-Closed-Loop Identifikation: Eine Toolbox für den Einsatz in der industriellen Praxis (SISO-Closed-Loop Identification: A Toolbox Ready-to-Use in Industrial Practice).
Autom., 2009

2008
Flatness-based two-degree-of-freedom control of industrial semi-batch reactors using a new observation model for an extended Kalman filter approach.
Int. J. Control, 2008

Continuous-time non-linear flatness-based predictive control: an exact feedforward linearisation setting with an induction drive example.
Int. J. Control, 2008

2005
A new approach to inversion-based feedforward control design for nonlinear systems.
Autom., 2005

Adaptive Feedforward Control with Parameter Estimation for the Chylla-Haase Polymerization Reactor.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Internal dynamics of flat nonlinear SISO systems with respect to a non-flat output.
Syst. Control. Lett., 2004

2003
Robust nonlinear tracking control based on differential flatness.
PhD thesis, 2003

Robustness analysis of exact feedforward linearization based on differential flatness.
Autom., 2003


  Loading...