The recent advances in sensor technologies, renewable generations, Internet of Things, and smart appliances are changing the grid systems, as we know it, world-wide. Hence, the emergence of phrases such as “smart grid”; “smart homes”; “resilient grid”; among others. Some of the common features among these phrases are sensors, big data, intelligent control systems, distributed decision framework, and cognitive decision support systems. The fundamental premise of these advances is an energy system that will maintain its functions despite internal and external perturbations. Concomitantly, researchers, businesses, and policymakers have seized on Artificially Intelligent (AI) services to support their energy system decisions. These AI services will continue to improve with analytics discipline advancements in areas such as autonomy, predictive analytics, and algorithms that model high-level abstractions in sensors data. At the same time, the design, development, and deployment of AI services present novel methodological and technological challenges. The goal of this special issue is to publish both innovative and practical solutions to energy systems using artificial intelligence techniques. This issue will deliver clear proof of the services that AI is, or will be, providing to Energy Systems.
Keywords: Smart Grid; Smart Homes; Grid Resiliency; Renewable Integration; Autonomy; Decision Support; Machine Learning; Data Analytics; Modeling; Simulation; Massive Data Management; Sensors.