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  1. Home
  2. Applications
  3. Energy
  4. Data Integration and Processing

Data Integration and Processing How can technologies and tools from the field of Big Data be transferred to the energy domain, tested, optimized and profitably established there?

With increasing digitization and automation, the amount of data to be processed in all domains is steadily increasing. Under the keyword Internet of Things (IoT), secure communication between machines is becoming increasingly important. As a result, the time periods in which this data has to be processed and analysed are becoming shorter and shorter. As a result of this development, new technology branches have emerged in recent years in the area of data storage and management, such as data stream management systems, distributed ledger technologies and in-memory databases, which are increasingly finding their way into the energy domain.

The central question that the group is therefore concerned with is: How can technologies and tools from the field of Big Data be transferred to the energy domain, tested, optimized and profitably established there? The group considers technologies in the entire chain from data acquisition/generation, processing and analysis to archiving and visualization. The target group includes all participants in the energy market, from individual consumers, grid operators and suppliers to producers, especially in the field of renewable energies.

  • Co-Simulation of Multi-Modal Energy Systems
  • Distributed Artificial Intelligence
  • Data Integration and Processing
  • Energy-efficient Smart Cities
  • Power Systems Intelligence
  • Resilient Monitoring and Control
  • Standardized Systems Engineering and Assessment
  • Smart Grid Testing

Group Manager

Dr. rer. nat. Jan Reinkensmeier
Dr. rer. nat.
Jan Reinkensmeier

Persons

A

Jad Asswad

E-Mail: jad.asswad(at)offis.de, Phone: +49 441 9722-186, Room: I6-E02

Jan Philipp Awick

E-Mail: jan.philipp.awick(at)offis.de, Phone: +49 441 9722-722, Room: I6-E04

B

Tabea Belkot

E-Mail: tabea.belkot(at)offis.de, Phone: +49 441 9722-576, Room: I6-E07

Patrick Bruns

E-Mail: Patrick.Bruns(at)offis.de, Phone: +49 441 9722-214, Room: I6-E07

D

Viktor Dmitriyev

E-Mail: viktor.dmitriyev(at)offis.de, Phone: +49 441 9722-181, Room: I6-E02

E

Maria Edith Elizondo Guerrero

E-Mail: maria.edith.elizondo.guerrero(at)offis.de, Phone: +49 441 9722-583, Room: I6-E04

F

Christoph Franzius

E-Mail: christoph.franzius(at)offis.de, Phone: +49 441 9722-224, Room: I6-E02

P

Jens Plümer

E-Mail: jens.pluemer(at)offis.de, Phone: +49 441 9722-718, Room: I6-E07

R

Dr. rer. nat. Jan Reinkensmeier

E-Mail: jan.reinkensmeier(at)offis.de, Phone: +49 441 9722-227, Room: I6-E03

Projects

D

DigiSchwein

Cross innovation and digitalization in animal-friendly pig husbandry under consideration of resource protection

Duration: 2020 - 2024

I

IDiNA

Intelligente Digitalisierung der Energieversorgung zur Optimierung des Netzbetriebs und zur Erhöhung der Akzeptanz

Duration: 2021 - 2024

P

PAIRS

Privacy-Aware, intelligent and Resilient Crisis Management

Duration: 2021 - 2024

W

WiSA big data

Wind farm virtual Site Assistant for O&M decision support – advanced methods for big data analysis

Duration: 2019 - 2023

WWNW

WärmewendeNordwest – Digitalisierung zur Umsetzung von Wärmewende- und Mehrwertanwendungen für Gebäude, Campus, Quartiere und Kommunen im Nordwesten

Duration: 2021 - 2025

Publications

2022

Towards an automated record linkage process for datasource-independent company matching

Kruse, Felix and Schröer, Christoph and Awick, Jan-Philipp and Reinkensmeier, Jan and Marx Gómez, Jorge; 2022 3rd International Conference on Next Generation Computing Applications (NextComp); 2022

DOI BIB

2021

Data Ownership: A Survey

Asswad, Jad and Marx Gómez, Jorge; Information; November / 2021

URL DOI BIB
GIS-Analysen für eine kleinräumige multikriterielle Wärmeleitplanung / GIS Analyses for Small-scale Multi-criteria Thermal Energy Planning

Sebastian Erdmann, Tabea Belkot, Felix Friebe, Theresa Gravenhorst, Sascha Koch; AGIT Journal; 2021

DOI BIB

2020

Anfragesprache für Zeitreihen - Time Series Query Language

Andre Göring, Michael Brand, Jad Asswad, Patrick Bruns, Norman Ihle, Michael Specht, Carsten Saathoff, Bernd Grünefeld, Jörg Friebe, Tim Rasim, Marcel Winter; openKONSEQUENZ, Berlin; 2 / 2020

URL BIB
Flexibility management and provisionof balancing services with battery-electricautomated guided vehicles in the Hamburgcontainer terminal Altenwerder

Stefanie Holly, Astrid Nieße, Martin Tröschel, Lasse Hammer, Christoph Franzius, Viktor Dmitriyev, Johannes Dorfner, Eric MSP Veith, Christine Harnischmacher, Maike Greve, Kristin Masuch, Lutz Kolbe, Boris Wulff & Julian Kretz ; Oct / 2020

DOI BIB
NetzDatenStrom - Technische Dokumentation der Referenzarchitektur und der Schnittstellen

Andre Göring, Michael Brand, Jad Asswad, Patrick Bruns, Norman Ihle, Adrian Jimenez, Michael Specht, Carsten Saathoff, Bernd Grünefeld, Jörg Friebe, Tim Rasim; openKONSEQUENZ, Berlin; 5 / 2020

URL BIB

2019

Framework for the Integration of ICT-relevant Data in Power System Applications

Michael Brand, Shoaib Ansari, Felipe Castro, Ranim Chakra, Batoul Hage Hassan, Carsten Krüger, Davood Babazadeh, Sebastian Lehnhoff; PowerTech; 2019

BIB
Trust in control: a trust model for power system network assessment

Brand, Michael and Babazadeh, Davood and Lehnhoff, Sebastian and Engel, Dominik; EPJ Web of Conferences; 2019

BIB
Virtual power plant architecture using OpenADR 2.0b for dynamic charging of automated guided vehicles

Mitja Kolenc and Norman Ihle and Christoph Gutschi and Peter Nemček and Thomas Breitkreuz and Karlheinz Gödderz and Nermin Suljanović and Matej Zajc; International Journal of Electrical Power & Energy Systems; 2019

DOI BIB

2018

Distributed ledger technology for fully automated congestion management

Nieße, Astrid and Ihle, Norman and Balduin, Stephan and Postina, Matthias and Tröschel, Martin and Lehnhoff, Sebastian; Energy Informatics; Oct / 2018

DOI BIB
EN: Alle Publikationen aus dem Bereich Data Integration and Processing
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