Trustworthy Digital Auxiliary Processes for Sustainable Energy Utilization: A Targeted Process-Oriented Review and Conceptual Evidence-to-Review Framework

Sustainable energy systems increasingly rely on digital auxiliary processes that convert telemetry, forecasts, diagnostic evidence, and operating rules into reviewable information for authorized human decision-makers. This targeted review develops a transparent and traceable conceptual evidence-to-review framework for photovoltaic, wind, storage, fuel-cell, and converter-coupled systems. The coded review pool comprised 100 sources, including 75 analytical and 25 contextual sources; 10 additional references supported methodological, technical, and case-specific context and were not included in thematic coding. A six-stage thematic analysis, supported by a revision-stage coding audit, identified five analytical layers: data-quality control, forecasting and uncertainty, explanation diagnostics, constrained evidence briefing, and accountable human review. These layers were translated into an eight-stage advisory architecture that separates evidence preparation, validation, briefing, and review from the authorized control plane. No direct large-language-model-to-controller or model-to-asset path is permitted. An illustrative Jeju scenario traces one evidence record through the architecture and shows how safety conditions, evidence admissibility, and procedural authority lead to CHECK, HOLD, or ESCALATE outcomes. The review concludes that trustworthy digital support requires traceable evidence, deterministic safety and rule boundaries, and accountable human authorization.