Bridging Human-Machine Interaction for Energy Infrastructure

As energy systems become increasingly complex, the intersection between human operators and intelligent machines plays a critical role in ensuring reliable and resilient infrastructures. The evolving relationship between people and technology in management is essential to optimize energy systems. This integration demands not only advanced machine intelligence but also intuitive and trustworthy interactions that empower human decision-making. By aligning technological innovation with human capabilities and adapting energy infrastructures capable of meeting the dynamic challenges of a low carbon, we can help decentralize energy futures. Bridging Human-Machine Interaction for Energy Infrastructure explores and enhances the dynamic interface between humans and machines in the context of modern energy systems. Its primary objective is to improve the efficiency, resilience, and sustainability of energy infrastructure by integrating advanced human-machine interaction concepts. Covering topics such as machine learning, energy infrastructure, and human-machine interaction, this book is an excellent resource for graduate students, academicians, policymakers, engineers, system designers, and more.