IoT-Driven Automation in Energy Storage Operations and Maintenance

Abstract

The exponential growth in renewable energy adoption has amplified the significance of energy storage systems (ESS). Efficient operations and maintenance (O&M) of ESS are pivotal for ensuring reliability, cost-efficiency, and sustainability. This study explores the transformative role of the Internet of Things (IoT) in automating O&M processes in energy storage systems. By integrating real-time monitoring, predictive maintenance, and advanced analytics, IoT offers a proactive approach to fault detection and performance optimization. A detailed literature review highlights existing IoT-enabled frameworks, while the proposed methodology integrates sensor networks, cloud computing, and AI-driven analytics. The results demonstrate significant improvements in operational efficiency and system longevity, establishing IoT as a critical enabler for smart energy storage management.