Smart Grid
This dataset includes gathering 18-month raw PV data at time intervals of about 200 µs (5 kHz sampling). A post-processing 365-day day-by-day downsampled version, converted to 10 ms intervals (100 Hz sampling), is also included. The end results are two databases: 1. The original, raw, data, including both fast (short circuit, 200 µs) and slow (sweep, 2.5-3.9 s) information for 18 months. These show intervals of missing points, but are provided to allow potential users to reproduce any new work. 2.
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The dataset contains PMU measurements of all ten generators of IEEE 39-bus transmission system model, installed at the generators terminal. The dataset was obtained by using RTDS power system simulator and GTNETx2 based PMUs, and was stored by using Synchro-measurement Application Development Framework (SADF) Matlab library. Dataset constructs in total 86.6s of simulation and 5197 PMU measurements per generator.
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This data set is composed by samples of load signature of electric devices acquired on a non-intrusively form. The test-bench was performed using four identical fluorescent lamps, four identical slots and four identical switches. Identical term means the same technical specifications (nominal voltage, power, isolation voltage, among others). The sensors are connected to the power supply in order to measure the electrical variations when appliances are turned on/off. We have 16 possible network configurations with 4 appliances, in which one, two, three or four appliances can be turned on.
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Accurate short-term load forecasting (STLF) plays an increasingly important role in reliable and economical power system operations. This dataset contains The University of Texas at Dallas (UTD) campus load data with 13 buildings, together with 20 weather and calendar features. The dataset spans from 01/01/2014 to 12/31/2015 with an hourly resolution. The dataset is beneficial to various research such as STLF.
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The zipped file includes a description of the combined household model example and a Simscape/MATLAB file for the model.
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These data are collected from a 12-bus and a 32-bus DC microgrid. The total operating cost of these two microgrids are optimized by an adaptive Differential Evolution algorithm using real-time pricing.
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Transfer matrix for PCE tracing
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This dataset is for the figures and the plots within the figures in the submitted paper "A hybrid event detection approach for non-intrusive load monitoring."
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