Akinde Michael Ogunmolu

Autonomous Artificial Intelligence Agents for Fault Detection and Self-Healing in Smart Manufacturing Systems

Akinde Michael Ogunmolu, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Anthony Obulor Olisa & Oluwatobi Bamigbade · Journal of Energy Research and Reviews · 2025

This research develops and validates autonomous artificial intelligence agents for fault detection and self-healing in smart manufacturing systems within the context of Industry 4.0, addressing critical challenges in operational efficiency and reliability. Motivated by the need t...

Open access Research Article 10.9734/jenrr/2025/v17i8445

Digital Twin-based Energy Infrastructure Powered by AI: Real-Time Simulation, Anomaly Detection, and Intervention

Akinde Michael Ogunmolu · Journal of Energy Research and Reviews · 2025

The increasing complexity and vulnerability of modern energy systems underscore the urgent need for intelligent, resilient, and sustainable infrastructure solutions. However, challenges such as cybersecurity risks, ethical governance concerns, and interoperability barriers hinder...

Open access Research Article 10.9734/jenrr/2025/v17i7434

Data-Centric AI for Zero-Carbon Power Systems Security: A Framework for Learning with Noisy, Sparse, and Heterogeneous Data

Oluwatobi Bamigbade, Emonena Patrick Obrik-Uloho, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran · Journal of Energy Research and Reviews · 2025

Zero-carbon grids increasingly rely on pervasive sensing and AI-driven automation, yet most learning engines still assume clean, synchronous data and bolt-on security tools. We introduce a six-layer, data-centric AI framework that (i) raises data quality before inference, (ii) fu...

Open access Research Article 10.9734/jenrr/2025/v17i7442