Research data for "Probabilistic assessment of renewable hosting capacity under dynamic line rating in medium-voltage distribution networks"

Processed input data and final results supporting a probabilistic study of renewable hosting capacity under dynamic line rating in a medium-voltage distribution network. The deposit contains the processed meteorological record (Renewables.ninja, Zaragoza region), the CIGRE MV benchmark network, conductor and load parameters and DER bounds; and the final results: the risk-constrained hosting-capacity curves under static and dynamic ratings, the S4 thermal-risk metrics and exceedance curve, the empirical ampacity distribution, the multi-objective Pareto fronts for Envelopes A and B, the wind-temperature correlation sensitivity, the copula goodness-of-fit and temporal-stability summaries, and the validation of the linearised power-flow model against a backward/forward-sweep solver and pandapower. The exact publication PDFs for Figures 1-12 and lightweight MATLAB scripts for recreating the data-driven figures and result tables are included. The author-prepared schematics (Figures 1-3) are supplied unchanged and are not regenerated. Development archives, checkpoints and the multi-gigabyte optimiser workspace files are excluded.