Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This release contains the data, code, frozen forecast caches, experiment protocols, and formal RK3588 results supporting the manuscript “Privacy-Aware Personalized Scheduling of Behind-the-Meter Energy Storage via an Edge-Resident Large Language Model”. Version 1.3.0 adds forecast-error bounds calibrated from a disjoint historical period and indexed by forecast lead time, an executable rolling baseline with no-export discharge clipping and SOC propagation, execution-consistent bounded scheduling, perfect-information feasibility diagnostics for 432 requests, and a 30-request English–Chinese benchmark for the extended constraint set. The formal device results cover three scheduling arms, 72 household-day profiles per arm, and 5,184 schedules in total. Code is licensed under MIT; data and derived results are licensed under CC BY 4.0.
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