Detail publikačního výsledku

Design and Validation of a Flexible Digital Platform Integrating Heterogeneous Measurement Information

PLAMANESCU, R.; STAMATESCU, G.; EL-LEATHAY, A.; ALEXANDRU-IONEL, C.; ADRIAN, N.; VRTAL, M.; KRČÁL, V.; DVOŘÁK, R.; PTÁČEK, M.

Originální název

Design and Validation of a Flexible Digital Platform Integrating Heterogeneous Measurement Information

Anglický název

Design and Validation of a Flexible Digital Platform Integrating Heterogeneous Measurement Information

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper presents the development of a comprehensive measurement information integration framework designed to operate within a cross-platform software ecosystem. The proposed framework leverages open-source APIs and unified data formats to enable seamless interoperability among heterogeneous data sources, each characterized by distinct reporting rates and communication protocols. A central component of the approach is the implementation of an intelligent edge computing engine, capable of aggregating, analyzing, and correlating measurement data in real time. Through advanced data analytics, the engine supports functionalities such as anomaly detection, predictive maintenance, and dynamic energy control. These capabilities are essential for enhancing situational awareness and operational efficiency in emerging low-inertia power grids. The overall solution facilitates more reliable and optimized energy transfer by bridging the gap between diverse measurement infrastructures and control strategies in next-generation electrical networks.

Anglický abstrakt

This paper presents the development of a comprehensive measurement information integration framework designed to operate within a cross-platform software ecosystem. The proposed framework leverages open-source APIs and unified data formats to enable seamless interoperability among heterogeneous data sources, each characterized by distinct reporting rates and communication protocols. A central component of the approach is the implementation of an intelligent edge computing engine, capable of aggregating, analyzing, and correlating measurement data in real time. Through advanced data analytics, the engine supports functionalities such as anomaly detection, predictive maintenance, and dynamic energy control. These capabilities are essential for enhancing situational awareness and operational efficiency in emerging low-inertia power grids. The overall solution facilitates more reliable and optimized energy transfer by bridging the gap between diverse measurement infrastructures and control strategies in next-generation electrical networks.

Klíčová slova

microgrids, data analytics, ICT platform, heterogeneous information, open-source

Klíčová slova v angličtině

microgrids, data analytics, ICT platform, heterogeneous information, open-source

Autoři

PLAMANESCU, R.; STAMATESCU, G.; EL-LEATHAY, A.; ALEXANDRU-IONEL, C.; ADRIAN, N.; VRTAL, M.; KRČÁL, V.; DVOŘÁK, R.; PTÁČEK, M.

Rok RIV

2026

Vydáno

24.09.2025

Nakladatel

IEEE

ISBN

978-1-6654-7765-9

Kniha

15th IEEE International Workshop on Applied Measurements for Power Systems WORKSHOP PROCEEDINGS

Strany počet

6

URL

https://ieeexplore.ieee.org/document/11219961

BibTex

@inproceedings{BUT198936,
  author="Radu {Plamanescu} and  {} and  {} and  {} and  {} and Matěj {Vrtal} and Vít {Krčál} and Radim {Dvořák} and Michal {Ptáček}",
  title="Design and Validation of a Flexible Digital Platform Integrating Heterogeneous Measurement Information",
  booktitle="15th IEEE International Workshop on Applied Measurements for Power Systems WORKSHOP PROCEEDINGS",
  year="2025",
  pages="6",
  publisher="IEEE",
  doi="10.1109/AMPS66841.2025.11219961",
  isbn="978-1-6654-7765-9",
  url="https://ieeexplore.ieee.org/document/11219961"
}