Artificial Intelligence for the Water-Energy-Food Nexus - Amir , Washington DC, USA) Shahirinia;Shahryar Jafarinejad

Artificial Intelligence for the Water-Energy-Food Nexus considers the interrelationships among water, energy, and food, which are key to sustainable development and the potential of artificial intelligence (AI) as a useful tool to facilitate research and development within and between these areas as well as the water-energy-food (WEF) nexus.

The first chapter introduces the WEF nexus concepts, assessment/analysis methodologies and tools, challenges, trends, and future perspectives. The second chapter summarizes AI applications to the water sector/industry with a focus on the importance, general applications, and real-world applications, as well as the challenges and future perspectives. The third chapter focuses on the application of AI techniques to the water and wastewater treatment systems, including treatment processes, urban drinking water systems, and integrated urban drainage systems. The fourth chapter explores the application of AI techniques to the nonrenewable and renewable energy systems, load monitoring, load demand forecasting, smart grids, energy optimization and process control, energy storage systems, and case studies and real-world applications, as well as the challenges in AI application to the energy industry and future directions. The application of AI techniques in the food industry in the areas of organoleptic properties, nutrition, toxicology, and food chemistry; biotechnology processes and microbiology security; food processing and manufacturing; conservation and storage conditions; supply chains, markets, and distribution; and food industry environments (circular economy, water, and energy management), as well as the challenges and opportunities are discussed in the fifth chapter. The final chapter reviews/presents the application of AI techniques to address problems associated with the WEF nexus. This book can be of interest to all those who are looking to understand and utilize AI techniques in the context of water, energy, food, and the WEF nexus, including researchers, advanced students, faculty, engineers, R&D, industry professionals, and policymakers.