Electrical Measurement Dataset from a University Laboratory for Smart Energy Applications

Continuous monitoring of electrical parameters is essential for understanding energy consumption, assessing power quality, and analyzing load behavior. This paper presents a dataset comprising measurements of three-phase voltages and currents, active and reactive power (per phase and total), power factor, and system frequency. The data was collected between April and December 2024 in the low-voltage system of a university laboratory, using high-accuracy power analyzers installed at the point of common coupling. Measurements were recorded every 10 min, generating 79 files with 432 records each, for a total of approximately 34,128 entries. To ensure data quality, the values were validated, erroneous entries removed, and consistency verified using power triangle relationships. The curated dataset is provided in tabular (CSV) format, with each record including a timestamp, three-phase voltages, three-phase currents, active and reactive power (per phase and total), power factor (per phase and global), and system frequency. This dataset offers a comprehensive characterization of electrical behavior in a university laboratory over a nine-month period. It is openly available for reuse and can support research in power system analysis, renewable energy integration, demand forecasting, energy efficiency, and the development of machine learning models for smart energy applications.

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Data
Published
2025-10-26
DOI
https://doi.org/10.3390/data10110170
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73
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article

Electrical Measurement Dataset from a University Laboratory for Smart Energy Applications

Bayron Álvarez Arboleda, Sergio D. Saldarriaga-Zuluaga, Carlos Mario Moreno-Paniagua, Sebastián Estrada et al.
1 citations
Data
Smart Grid Energy Management
0.73
article

Electrical Measurement Dataset from a University Laboratory for Smart Energy Applications

Bayron Álvarez Arboleda, Sergio D. Saldarriaga-Zuluaga, Carlos Mario Moreno-Paniagua, Sebastián Estrada, José Ricardo Velasco-Méndez
article en
1 citations

Abstract

Continuous monitoring of electrical parameters is essential for understanding energy consumption, assessing power quality, and analyzing load behavior. This paper presents a dataset comprising measurements of three-phase voltages and currents, active and reactive power (per phase and total), power factor, and system frequency. The data was collected between April and December 2024 in the low-voltage system of a university laboratory, using high-accuracy power analyzers installed at the point of common coupling. Measurements were recorded every 10 min, generating 79 files with 432 records each, for a total of approximately 34,128 entries. To ensure data quality, the values were validated, erroneous entries removed, and consistency verified using power triangle relationships. The curated dataset is provided in tabular (CSV) format, with each record including a timestamp, three-phase voltages, three-phase currents, active and reactive power (per phase and total), power factor (per phase and global), and system frequency. This dataset offers a comprehensive characterization of electrical behavior in a university laboratory over a nine-month period. It is openly available for reuse and can support research in power system analysis, renewable energy integration, demand forecasting, energy efficiency, and the development of machine learning models for smart energy applications.

DataVol. 10(11)
Institución Universitaria Pascual Bravo (CO)
Openalex Percentile: Top 22%
Smart Grid Energy Management
0.73
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