OJSAEES emphasizes the integration of smart automation technologies, such as machine learning, IoT, and adaptive control systems, to achieve energy efficiency in a wide array of applications. These include, but are not limited to, smart grids, building management systems, industrial processes, and transportation networks. The journal actively promotes research that investigates innovative methodologies and solutions to improve energy optimization and reduce environmental footprints. A key area of interest is the role of automation in renewable energy systems, such as solar and wind power, exploring how intelligent algorithms and autonomous systems can enhance energy harvesting, storage, and distribution. Submissions that bridge automation with energy policy, economic feasibility, and societal adoption are particularly encouraged to provide a holistic view of the challenges and solutions in this field. The journal also explores emerging trends in energy-efficient systems, including hybrid systems, distributed energy resources, and demand-response mechanisms. It prioritizes work that demonstrates scalable and cost-effective solutions, emphasizing the role of automation in addressing the unique energy challenges in Asia and the global south.