Detail publikačního výsledku

Advanced Energy Data Utilization for Campus Grid Analysis

DVOŘÁK, R.; VRTAL, M.; KRČÁL, V.; TOMAN, P.; PLAMANESCU, R.; ALBU, M.

Originální název

Advanced Energy Data Utilization for Campus Grid Analysis

Anglický název

Advanced Energy Data Utilization for Campus Grid Analysis

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This paper focuses on the utilization of measurement information collected within a university campus. A realtime ICT platform was implemented through deployed monitoring system, integrating information from permanently installed power analyzers and temporary meters to capture high-resolution parameters for the energy transfer. Information collected from laboratory spaces, offices, and classrooms were collected and analyzed to identify load power profile patterns. These data will be subsequently used to develop a model in PSCAD, to serve as a basis for forecasting future energy demand. A correlation-based synchronization process was used to ensure accurate alignment of substation and localized measurements, highlighting strong phase-dependent relationships. The results demonstrate the potential for predictive modeling to enhance energy management efficiency, detect irregular power profile patterns, and optimize power distribution.

Anglický abstrakt

This paper focuses on the utilization of measurement information collected within a university campus. A realtime ICT platform was implemented through deployed monitoring system, integrating information from permanently installed power analyzers and temporary meters to capture high-resolution parameters for the energy transfer. Information collected from laboratory spaces, offices, and classrooms were collected and analyzed to identify load power profile patterns. These data will be subsequently used to develop a model in PSCAD, to serve as a basis for forecasting future energy demand. A correlation-based synchronization process was used to ensure accurate alignment of substation and localized measurements, highlighting strong phase-dependent relationships. The results demonstrate the potential for predictive modeling to enhance energy management efficiency, detect irregular power profile patterns, and optimize power distribution.

Klíčová slova

energy management, data analysis, consumption prediction, smart grids, correlation analysis, low voltage, realtime measurement

Klíčová slova v angličtině

energy management, data analysis, consumption prediction, smart grids, correlation analysis, low voltage, realtime measurement

Autoři

DVOŘÁK, R.; VRTAL, M.; KRČÁL, V.; TOMAN, P.; PLAMANESCU, R.; ALBU, M.

Rok RIV

2026

Vydáno

27.05.2025

Nakladatel

IEEE

Místo

New York

ISBN

979-8-3315-8636-2

Kniha

Proceedings of the 2025 25th Internacional Scientific Conference on Electric Power Engineering (EPE)

Strany od

1

Strany do

5

Strany počet

5

URL

https://ieeexplore.ieee.org/document/11127033

BibTex

@inproceedings{BUT197972,
  author="Radim {Dvořák} and Matěj {Vrtal} and Vít {Krčál} and Petr {Toman} and Radu {Plamanescu} and Mihaela {Albu}",
  title="Advanced Energy Data Utilization for Campus Grid Analysis",
  booktitle="Proceedings of the 2025 25th Internacional Scientific Conference on Electric Power Engineering (EPE)",
  year="2025",
  pages="5",
  publisher="IEEE",
  address="New York",
  doi="10.1109/EPE67256.2025.11127033",
  isbn="979-8-3315-8636-2",
  url="https://ieeexplore.ieee.org/document/11127033"
}