Electrical Measurement Dataset from a University Laboratory for Smart Energy Applications

Sergio D. Saldarriaga-Zuluaga (), José Ricardo Velasco-Méndez, Carlos Mario Moreno-Paniagua, Bayron Alvarez-Arboleda and Sergio Andres Estrada-Mesa
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Sergio D. Saldarriaga-Zuluaga: Departamento de Eléctrica, Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia
José Ricardo Velasco-Méndez: Departamento de Eléctrica, Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia
Carlos Mario Moreno-Paniagua: Departamento de Eléctrica, Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia
Bayron Alvarez-Arboleda: Departamento de Eléctrica, Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia
Sergio Andres Estrada-Mesa: Departamento de Eléctrica, Facultad de Ingeniería, Institución Universitaria Pascual Bravo, Calle 73 No. 73A-226, Medellín 050036, Colombia

Data, 2025, vol. 10, issue 11, 1-14

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.

Keywords: electrical measurements; power quality; smart grids; energy datasets; load monitoring; electrical analysis (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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