C
Carlo Cecati
Researcher at University of L'Aquila
Publications - 236
Citations - 13149
Carlo Cecati is an academic researcher from University of L'Aquila. The author has contributed to research in topics: Inverter & Harmonics. The author has an hindex of 34, co-authored 209 publications receiving 10484 citations. Previous affiliations of Carlo Cecati include Harbin Institute of Technology.
Papers
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Journal ArticleDOI
Smart Grid Technologies: Communication Technologies and Standards
Vehbi Cagri Gungor,Dilan Sahin,Taskin Kocak,Salih Ergut,Concettina Buccella,Carlo Cecati,Gerhard P. Hancke +6 more
TL;DR: The main objective of this paper is to provide a contemporary look at the current state of the art in smart grid communications as well as to discuss the still-open research issues in this field.
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A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
TL;DR: The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade.
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A Survey on Smart Grid Potential Applications and Communication Requirements
Vehbi Cagri Gungor,Dilan Sahin,Taskin Kocak,Salih Ergut,Concettina Buccella,Carlo Cecati,Gerhard P. Hancke +6 more
TL;DR: This paper overviews the issues related to the smart grid architecture from the perspective of potential applications and the communications requirements needed for ensuring performance, flexible operation, reliability and economics.
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Wireless Power Transfer—An Overview
TL;DR: This paper presents an overview of WPT techniques with emphasis on working mechanisms, technical challenges, metamaterials, and classical applications, and discusses about future development trends.
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A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches
TL;DR: This is the second-part paper of the survey on fault diagnosis and fault-tolerant techniques, where fault diagnosis methods and applications are overviewed, respectively, from the knowledge-based and hybrid/active viewpoints.