RAIL-KNUST will study scenarios and use cases for innovative use of AI and IoTs for Renewable Energy Systems (RES). This will involve the development of; (1) innovative designs for Renewable Energy Systems in farming communities, and (2) methodologies and AI-based solutions for District Energy Shared Systems. Activities in this theme would involve the design and development of AI-enabled cloud platforms, smart ICT controllers, software and virtual layers. This theme will also focus on using AI to design innovative solutions to solve the complexity problems of integrating several renewable energy sources with traditional grids due to the many energy vectors to ensure technological reliability of smart grid networks.