Veit Hagenmeyer
Orcid: 0000-0002-3572-9083Affiliations:
- 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 194 papers
between 2003 and 2024.
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on iai.kit.edu
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Bibliography
2024
IEEE Trans. Smart Grid, January, 2024
Open Energy Services - Forecasting and Optimization as a Service for Energy Management Applications at Scale.
CoRR, 2024
Ensuring Data Privacy in AC Optimal Power Flow with a Distributed Co-Simulation Framework.
CoRR, 2024
2023
Autom., November, 2023
A new hybrid risk assessment process for cyber security design of smart grids using fuzzy analytic hierarchy processes.
Autom., September, 2023
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks.
Appl. Intell., April, 2023
Using weather data in energy time series forecasting: the benefit of input data transformations.
Energy Inform., January, 2023
Energy Inform., January, 2023
Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging.
IEEE Internet Things J., 2023
Open Data-Driven Automation of Residential Distribution Grid Modeling with Minimal Data Requirements.
CoRR, 2023
CoRR, 2023
Distributed AC Optimal Power Flow for Generic Integrated Transmission-Distribution Systems.
CoRR, 2023
Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence.
CoRR, 2023
CoRR, 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks.
CoRR, 2023
Non-linear, bivariate stochastic modelling of power-grid frequency applied to islands.
CoRR, 2023
Complex., 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2023
Introducing PROOF - A PROcess Orchestration Framework for the Automation of Computational Scientific Workflows and Co-Simulations.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2023
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Experimental Analysis of Immersion & Invariance Adaptive Control for an Interleaved DC/DC Boost Converter with Unknown Load Type.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
Proceedings of the 7th International Conference on System Reliability and Safety, 2023
ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles.
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023
Proceedings of the 53. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2023, Designing Future, 2023
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Gossen's First Law in the Modeling for Demand Side Management: A First Heat Pump Case Study.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Regulatory Changes in German and Austrian Power Systems Explored with Explainable Artificial Intelligence.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
A new Data-Driven Approach for Comparative Assessment of Baseline Load Profiles Supporting the Planning of Future Charging Infrastructure.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
A Shapley value-based Distributed AC OPF Approach for Redispatch Congestion Cost Allocation.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023
Proceedings of the 9th International Conference on Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
3-D Refuse-Derived Fuel Particle Tracking-by-Detection Using a Plenoptic Camera System.
IEEE Trans. Instrum. Meas., 2022
Boost short-term load forecasts with synthetic data from transferred latent space information.
Energy Inform., 2022
An adapter-based architecture for evaluating candidate solutions in energy system scheduling.
Energy Inform., 2022
Inverse methods: How feasible are spatially low-resolved capacity expansion modeling results when dis-aggregated at high resolution?
CoRR, 2022
CoRR, 2022
Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe.
CoRR, 2022
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
Smart Energy System Control Laboratory - a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems.
Autom., 2022
Hardware-in-the-loop platforms for the automation and control of future energy systems.
Autom., 2022
IEEE Access, 2022
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 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
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
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022
An Optimization-based Approach for Automated Generation of Residential Low-Voltage Grid Models Using Open Data and Open Source Software.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022
Dynamic Optimization of Energy Hubs with Evolutionary Algorithms Using Adaptive Time Segments and Varying Resolution.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Facilitating the hybridization of parallel evolutionary algorithms in cluster computing environments.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Towards line-restricted dispatchable feeders using probabilistic forecasts for PV-dominated low-voltage distribution grids.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Enhancing anomaly detection methods for energy time series using latent space data representations.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Adaptively coping with concept drifts in energy time series forecasting using profiles.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Occupant-oriented economic model predictive control for demand response in buildings.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Analytical uncertainty propagation and storage usage in a high RES Turkish transmission grid scenario.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Assessing the combination of differential flatness and deterministic automata for controllable hybrid systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
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
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
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
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
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
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
Autom., 2020
On complexity reduction of the discrete-event subsystem of Flat Hybrid Automata for control design.
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
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
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
Proceedings of the Environmental Software Systems. Data Science in Action, 2020
Proceedings of the ICACS'20: 2020 4th International Conference on Algorithms, 2020
A New Distributed Optimization Algorithm for MINLPs with Affinely Coupled Decision Variables.
Proceedings of the ICACS'20: 2020 4th International Conference on Algorithms, 2020
Proceedings of the 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September, 2020
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
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
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility.
CoRR, 2019
CoRR, 2019
Flat Hybrid Automata as a Class of Reachable Systems: Introductory Theory and Examples.
CoRR, 2019
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter.
CoRR, 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
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
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
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
CoRR, 2018
Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.
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
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
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
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
Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018
2017
Comput. Sci. Res. Dev., 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
Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft - Herausforderungen und Lösungswege.
Autom., 2016
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
Proceedings of the Energy Informatics, 2015
2014
Autom., 2014
A discussion of the actual status of process control in theory and practice: a personal view from German process industry.
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
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
Syst. Control. Lett., 2004
2003
Robustness analysis of exact feedforward linearization based on differential flatness.
Autom., 2003