CYMCAP-Generated Dataset for Cross-Voltage-Level Ampacity and Thermal Resistance Estimation of Underground Power Cables

This dataset contains 520 simulated cases of ampacity and thermal resistance for underground power cables, generated using CYMCAP software. The dataset is organized into seven subsets: (i) 374 cases for model training (230 kV), (ii) 46 cases for independent validation (230 kV), (iii) 20 cases for cross-voltage evaluation (60 kV), (iv) 20 cases for cross-voltage evaluation (400 kV), (v) 20 cases providing the 230 kV reference outputs for the correction-factor calibration geometries, (vi) 20 cases at 60 kV for the same calibration geometries, used together with (v) to calibrate a physics-based voltage-level correction factor, and (vii) 20 cases at 400 kV for the same calibration geometries, used together with (v) to calibrate and independently corroborate the same correction factor. Each case includes 11 variables describing installation geometry, thermal properties, and electrical performance: backfill trench width, backfill height, backfill depth, soil thermal resistivity, backfill thermal resistivity, concrete thermal resistivity, cable spacing, external duct diameter, burial depth, thermal resistance, and cable ampacity; subsets (v)-(vii) share a common configuration index and additionally report, for subsets (vi) and (vii), a correction factor computed as the ratio between thermal resistance at the target voltage and at 230 kV for the same geometry. The dataset is suitable for applications such as ampacity prediction, sensitivity analysis, thermal modeling, cross-voltage-level generalization studies, and benchmarking of machine learning models for underground cable systems. This dataset is distributed under the CC BY 4.0 license.