Real Residential Load Profiles for Autotransformer Efficiency Evaluation in San Cristóbal, Dominican Republic
Description
This dataset contains real electrical demand profiles measured in a residential installation located in San Cristóbal, Dominican Republic, using a Fluke 1738 Power Quality Analyzer. Measurements were taken over four consecutive days (September 19–22, 2024) in a split-phase 240/120 V supply system (Line A, Line B, and Neutral). The file Profile-MEAENE-D-25-00055R1.xlsx includes minute-by-minute data (1-min resolution, 1 440 records per day) of RMS voltage, current, active power, apparent power, and power factor for each line and for the total circuit. The data were used to estimate the all-day efficiency of a low-voltage autotransformer through an analytical model based on measured demand profiles. Each row corresponds to a 1-minute interval with start/stop timestamps; all quantities are expressed in SI units (V, A, W, VA). This dataset supports the article “Evaluation of the Efficiency of a Low-Voltage Autotransformer under Real Demand Profiles” submitted to Measurement: Energy.
Files
Steps to reproduce
1-Experimental setup: Install a Fluke 1738 Power Quality Analyzer at the main distribution board of a residential installation supplied by a 240/120 V split-phase system (Line A, Line B, Neutral). Configure the analyzer to monitor the Line B–Neutral circuit, which corresponds to the two-wire configuration used in laboratory tests of the autotransformer. 2-Measurement configuration: Sampling interval: 1 minute (Trend period = 60 s) Parameters recorded: RMS voltage, RMS current, active power, apparent power, and power factor Duration: 24 hours per day for four consecutive days Date range used in this dataset: September 19–22, 2024 3-Calibration and standards: Verify factory calibration of the instrument and ensure compliance with IEC 61000-4-30 (Class A) accuracy requirements. Synchronize the analyzer’s internal clock before measurement. 4-Data export: Use Fluke Energy Analyze Plus software to export the recorded data directly to Microsoft Excel (.xlsx) format. Each row should include start and stop timestamps plus all measured parameters for the one-minute interval. 5-Data preparation: Organize the exported data into a single worksheet named “Profile.” No post-processing or filtering is required—the dataset represents raw field measurements.