Professor Carlos Ocampo-Martinez has been actively involved in research and development activities pertaining to the management and control of energy systems. His research focuses on model predictive control strategies, distributed optimization approaches for large-scale network management, evolutionary game theory and the management and control of water and energy systems. Prof. Ocampo-Martinez has written more than 100 articles on a variety of issues, including non-centralized control for network systems, model predictive control of complex networks involved in the urban water cycle, and smart manufacturing systems. His research contributions highlight the significance of this book in integration of energy systems since it offers insights into sophisticated control strategies, optimization methods, and the administration of complex energy networks. Professor Nicanor Quijano is an expert in hierarchical and distributed network optimization methods for control using learning, bio inspired, and game-theoretical techniques for dynamic resource allocation problems, especially those in the fields of energy, water, agriculture, and transportation. His research has mostly concentrated on topics such as real-time management of urban drainage and irrigation systems, dynamic population games for microgrids employing population dynamics, and applications in open-channels irrigation systems. His knowledge in these areas provides relevant insights into the issues and solutions connected with integrating energy vectors as well as the water-energy-food nexus, which is paramount in this sort of research problem.

His work has been published in more than a 100 articles in peer-reviewed journals, conferences, and book chapters.