Smart Industrial Ecosystems: Integrating Digital Twins, Machine Learning And Renewable Solutions For Operational Excellence

Abstract

Digital transformation has redefined the paradigms of efficiency and sustainability in the industry. This article explores the concept of Smart Industrial Ecosystems through the integration of digital twins, machine learning (ML), and renewable energy. A theoretical and methodological analysis is carried out on how these emerging technologies can interact synergistically to optimize processes, reduce ecological footprint and promote data-based decision-making. The results show that the convergence of these tools not only improves operational productivity, but also constitutes a strategic path for a sustainable industrial transition.