Integrating Machine Learning and AHP for Data-Driven Asset Renewal Prioritization in Power Distribution Systems
Results show that the proposed ML–AHP framework can support the allocation of inspection, engineering-assessment, and renewal resources toward assets with comparatively greater maintenance demand and operational relevance, and provide a structured, data-driven decision-support approach for utility asset-renewal plannin...