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#reinforcement learning Dataset Open access

Conditional Safety Certification for Multi-Objective Energy–Water Microgrid Dispatch via Joint-Trajectory Conformal Uncertainty, Backward Viability, and Runtime Shielding

Sep 2026 · Mendeley Data

Abstract

This dataset provides the code, frozen experimental configurations, trained-controller checkpoints, sealed synthetic benchmark, reproducibility manifests, and numerical analysis artifacts supporting the manuscript entitled “Conditional Safety Certification for Multi-Objective Energy–Water Microgrid Dispatch via Joint-Trajectory Conformal Uncertainty, Backward Viability, and Runtime Shielding.” The repository supports the reproducibility and audit of the forecasting, joint-trajectory conformal uncertainty construction, backward viability computation, runtime shielding, preference-conditioned multi-objective reinforcement-learning evaluation, nominal controller comparisons, ablation analyses, out-of-distribution diagnostics, runtime profiling, and post hoc sensitivity analyses reported in the manuscript. The sealed final benchmark contains 20 scored synthetic evaluation days generated after the development configuration was frozen. The WATER demand series is site-informed synthetic and is reproduced through the documented generator parameters and random seeds. Electrical LOAD was reconstructed from university billing-derived information, but the original institutional source file is not redistributed because broader redistribution permission has not been established. Available PV was obtained from PVGIS; its source provenance and preprocessing procedure are documented, while the original downloaded PVGIS source file is not redistributed in this archive. The archive contains the frozen source code, final experiment configurations, conformal artifacts, model-discrepancy bounds, reachability and shield verification artifacts, trained B2–B6 controller checkpoints required for final evaluation, final nominal, preference, ablation, OOD and runtime outputs, Stage-14 audit artifacts, and post hoc day–seed and terminal-energy sensitivity analyses. No controller was retrained, no conformal threshold was recalibrated, and no sealed final trajectory was regenerated for the post hoc analyses. This archive is intended to permit independent inspection and reproduction of the computational results reported in the associated manuscript, subject to the software and data-availability conditions documented in the included README and data manifest.

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