Sarcouncil Journal of Applied Sciences Aims & Scope

Abstract: This comprehensive article examines the transformative impact of Internet of Things (IoT) and predictive analytics integration on asset performance management within the utility industry. It explores how these technologies enable utilities to transition from reactive maintenance paradigms to proactive, data-driven approaches that significantly enhance operational efficiency and asset longevity. The article progresses through four key domains: the foundational sensor networks and data acquisition systems that enable continuous monitoring; the predictive analytics methodologies that transform raw data into actionable intelligence; the advanced digital twin technologies that create virtual replicas for simulation and optimization; and the quantifiable operational benefits realized through implementation. By synthesizing findings from multiple research studies across various utility sectors, the article provides a comprehensive framework for understanding how IoT and predictive analytics convergence are fundamentally reshaping maintenance practices, improving reliability metrics, extending asset lifespans, optimizing resource allocation, and enhancing regulatory compliance across water, electricity, and gas utilities.