Energy 4.0: AI-enabled digital transformation for sustainable power networks

Abstract

The exponential rise of green technology has changed several industries, including the energy business, especially the power sector. These advances have transformed power generation and distribution. AI, machine learning, computer vision, blockchain, and the internet-of-things (IoTs) have advanced significantly in recent years. These advances might transform the energy business, expanding its uses. This concise yet comprehensive analysis examines energy and power systems from an eco-friendly perspective, shedding light on emerging research trends. The increasing use of renewable energy sources necessitates infrastructure restructuring, opening up the potential for grid development and AI for intermittent and distributed generation. The integration of AI, IoT, and blockchain technology into energy and power systems offers potential opportunities to improve efficiency, sustainability, and dependability. This study conducts a comprehensive examination of application-specific research to investigate the present state-of-the-art and limits of various technologies, employing a thorough approach. Within this particular context, the article emphasizes the importance of implementing a complete policy and planning framework in order to support a significant and efficient shift towards advanced grid systems. The convergence of AI, information and communication technology (ICT), and energy systems offers unparalleled prospects for influencing the trajectory of energy generation, distribution, and consumption in the future. This work makes a valuable contribution to the wider academic discussion around the utilization of digital transformation in order to create sustainable and intelligent energy ecosystems. It achieves this by integrating insights from several fields.