Toward Cognitive Assistance and Prognosis Systems in Power Distribution Grids—Open Issues, Suitable Technologies, and Implementation Concepts-Reference-Cited by-同舟云学术

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Toward Cognitive Assistance and Prognosis Systems in Power Distribution Grids—Open Issues, Suitable Technologies, and Implementation Concepts

Published:2024 Issue: Volume:12 Page:107927-107943
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gitzel Ralf¹^ORCID,Hoffmann Martin W.¹,Heiden Philipp Zur²^ORCID,Skolik Alexander²,Kaltenpoth Sascha²^ORCID,Müller Oliver²,Kanak Cansu³^ORCID,Kandiah Kajan³^ORCID,Stroh Max-Ferdinand³,Boos Wolfgang³,Zajadatz Maurizio⁴,Suriyah Michael⁴,Leibfried Thomas⁴^ORCID,Singhal Dhruv Suresh⁵,Bürger Moritz⁶,Hunting Dennis⁶,Rehmer Alexander⁷,Boyaci Aydin¹

Affiliation:

1. ABB Corporate Research Center, Mannheim, Germany

2. SICP, Universität Paderborn, Paderborn, Germany

3. FIR e. V., RWTH Aachen, Aachen, Germany

4. Institute of Electric Energy Systems and High-Voltage Technology, KIT, Karlsruhe, Germany

5. ITM, KIT, Karlsruhe, Germany

6. Westfalen Weser Netz GmbH, Paderborn, Germany

7. Heimann Sensor, Eltville, Germany

Funder

Bundesministerium für Wirtschaft und Klimaschutz (BMWK), Germany, AProSys

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10620173.pdf?arnumber=10620173

Reference110 articles.

1. COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry

2. Adaptive Power Transformer Lifetime Predictions Through Machine Learning and Uncertainty Modeling in Nuclear Power Plants

3. Aktive trockene Reibungselemente in Tilgerkonfigurationen

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