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Veit Hagenmeyer (1967-)

Maschinenbauingenieur

Name	Veit Hagenmeyer
Time	1967- (Date of birth and death)
Place	Reutlingen (Geburtsort) Deutschland
Gender	männlich
Academic degree	Prof. Dr.-Ing.
Profession	Maschinenbauingenieur (characteristic profession) Hochschullehrer
Variant	V. Hagenmeyer
Related	Institut für Angewandte Informatik (Karlsruhe) Technische Kybernetik (an der Universität Stuttgart) (Studienfach)
Source	https://www.iai.kit.edu/Ansprechpersonen_1213.php (Stand: 14.11.2023)
Record type	Person
GND-Identifier	1093877545
Record ID	1093877545
Involved in show all D4R: a new direct discrete dynamic data reconciliation method for the detection of cyber attacks Energietechnische Quartiere als cyber-physisch-soziale Infrastruktursysteme PIDE: Photovoltaic integration dynamics and efficiency for autonomous control on power distribution grids On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching Automated machine learning for time series forecasting in smart grid applications Dynamische Netzentgelte und ihre mögliche Ausgestaltung für Deutschland Modelling the Energy Transition : Cultures, Visions, Narratives Distribution grid monitoring based on feature propagation using smart plugs Gossen’s first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network Nonlinear analysis of the synchronous reference frame phase-locked loop under unbalanced grid voltage Mining Flexibility Patterns in Energy Time - Series from Industrial Processes Using weather data in energy time series forecasting: the benefit of input data transformations Transformer training strategies for forecasting multiple load time series A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids FAIR Data for Energy System Research : An Overview of NFDI4Energy Task Area 4 A two-stage parallel hybrid method for power system dynamic security assessment Klimaneutrale Wärmeversorgung : Bedeutung für die Energiewende und Herausforderungen bei Technik, Wirtschaftlichkeit und Regulierungen The Kopernikus ENSURE Co-Demonstration Platform An adapter-based architecture for evaluating candidate solutions in energy system scheduling Net load forecasting using different aggregation levels Boost short-term load forecasts with synthetic data from transferred latent space information Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks Smart Energy System Control Laboratory – a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems Hardware-in-the-loop platforms for the automation and control of future energy systems Review of automated time series forecasting pipelines Characterization of Aggregated Building Heating, Ventilation, and Air Conditioning Load as a Flexibility Service Using Gray‐Box Modeling Partially distributed outer approximation A Novel Receiver Design for Energy Packet‐Based Dispatching Partially distributed outer approximation Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow Open database analysis of scaling and spatio-temporal properties of power grid frequencies On norm-based estimations for domains of attraction in nonlinear time-delay systems Grundprinzipien für die Abschätzung von Einzugsbereichen in Totzeitsystemen Transportmodelle für Flüssigkeitsfilme Globale und nationale Herausforderungen bei der Umsetzung der Energiesystemtransformation Model compendium, data, and optimization benchmarks for sector-coupled energy systems Model compendium, data, and optimization benchmarks for sector-coupled energy systems Uncertainty Quantification for Optimal Power Flow Problems A new distributed co-simulation architecture for multi-physics based energy systems integration : Analysis of multimodal energy systems Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example Chancen der Digitalisierung für die Energiewende 3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus Concept and benchmark results for Big Data energy forecasting based on Apache Spark Optimal Power Flow Subject to Non‐Gaussian Stochastic Uncertainties: An L 2 ‐based Approach Optimal power flow: an introduction to predictive, distributed and stochastic control challenges A new solution for the Energy Packet-based Dispatching using power/signal dual modulation Innovative Downhole Tools for Cause Study and Main tenance in Deep Geothermal Energy Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory Technical Potential of Buildings in Germany as Flexible Power‐to‐Heat Storage for Smart‐Grid Operation Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology Photovoltaic power forecasting using simple data-driven models without weather data Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations Information and Communication Technology in Energy Lab 2.0: Smart Energies System Simulation and Control Center with an Open‐Street‐Map‐Based Power Flow Simulation Example Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft – Herausforderungen und Lösungswege Prof. Dr.-Ing. habil. Georg Bretthauer zum 70. Geburtstag Economic model-predictive control for chemical processes Ein Ansatz zur automatisierten Erstellung umfangreicher und komplexer Simulationsmodelle für elektrische Übertragungsnetze aus OpenStreetMap-Daten Robust nonlinear tracking control based on differential flatness

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Katalog der Deutschen Nationalbibliothek

Veit Hagenmeyer (1967-)

D4R: a new direct discrete dynamic data reconciliation method for the detection of cyber attacks

Energietechnische Quartiere als cyber-physisch-soziale Infrastruktursysteme

PIDE: Photovoltaic integration dynamics and efficiency for autonomous control on power distribution grids

On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching

Automated machine learning for time series forecasting in smart grid applications

Dynamische Netzentgelte und ihre mögliche Ausgestaltung für Deutschland

Modelling the Energy Transition : Cultures, Visions, Narratives

Distribution grid monitoring based on feature propagation using smart plugs

Gossen’s first law in the modeling for demand side management: a thorough heat pump case study with deep learning based partial time series data generation

Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network

Nonlinear analysis of the synchronous reference frame phase-locked loop under unbalanced grid voltage

Mining Flexibility Patterns in Energy Time - Series from Industrial Processes

Using weather data in energy time series forecasting: the benefit of input data transformations

Transformer training strategies for forecasting multiple load time series

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids

FAIR Data for Energy System Research : An Overview of NFDI4Energy Task Area 4

A two-stage parallel hybrid method for power system dynamic security assessment

Klimaneutrale Wärmeversorgung : Bedeutung für die Energiewende und Herausforderungen bei Technik, Wirtschaftlichkeit und Regulierungen

The Kopernikus ENSURE Co-Demonstration Platform

An adapter-based architecture for evaluating candidate solutions in energy system scheduling

Net load forecasting using different aggregation levels

Boost short-term load forecasts with synthetic data from transferred latent space information

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

Smart Energy System Control Laboratory – a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems

Hardware-in-the-loop platforms for the automation and control of future energy systems

Review of automated time series forecasting pipelines

Characterization of Aggregated Building Heating, Ventilation, and Air Conditioning Load as a Flexibility Service Using Gray‐Box Modeling

Partially distributed outer approximation

A Novel Receiver Design for Energy Packet‐Based Dispatching

Partially distributed outer approximation

Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow

Open database analysis of scaling and spatio-temporal properties of power grid frequencies

On norm-based estimations for domains of attraction in nonlinear time-delay systems

Grundprinzipien für die Abschätzung von Einzugsbereichen in Totzeitsystemen

Transportmodelle für Flüssigkeitsfilme

Globale und nationale Herausforderungen bei der Umsetzung der Energiesystemtransformation

Model compendium, data, and optimization benchmarks for sector-coupled energy systems

Model compendium, data, and optimization benchmarks for sector-coupled energy systems

Uncertainty Quantification for Optimal Power Flow Problems

A new distributed co-simulation architecture for multi-physics based energy systems integration : Analysis of multimodal energy systems

Architectural Concept and Evaluation of a Framework for the Efficient Automation of Computational Scientific Workflows: An Energy Systems Analysis Example

Chancen der Digitalisierung für die Energiewende

3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus

Concept and benchmark results for Big Data energy forecasting based on Apache Spark

Optimal Power Flow Subject to Non‐Gaussian Stochastic Uncertainties: An L 2 ‐based Approach

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

A new solution for the Energy Packet-based Dispatching using power/signal dual modulation

Innovative Downhole Tools for Cause Study and Main tenance in Deep Geothermal Energy

Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: A review of international field studies

Poster Abstract: Implementation of an extended generator subsystem in OpenModelica and comparative analysis with DIgSILENT PowerFactory

Technical Potential of Buildings in Germany as Flexible Power‐to‐Heat Storage for Smart‐Grid Operation

Integrated Research as Key to the Development of a Sustainable Geothermal Energy Technology

Photovoltaic power forecasting using simple data-driven models without weather data

Virtual Storages as Theoretically Motivated Demand Response Models for Enhanced Smart Grid Operations

Information and Communication Technology in Energy Lab 2.0: Smart Energies System Simulation and Control Center with an Open‐Street‐Map‐Based Power Flow Simulation Example

Zuverlässige und sichere Software offener Automatisierungssysteme der Zukunft – Herausforderungen und Lösungswege

Prof. Dr.-Ing. habil. Georg Bretthauer zum 70. Geburtstag

Economic model-predictive control for chemical processes

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

Robust nonlinear tracking control based on differential flatness