Deploying Generative AI and Cloud-Based Tools to Enhance Renewable Energy Education Platforms

Abstract: Modern renewable energy education is being reshaped by the proliferation of generative AI technologies, cloud computing, and related tools. This paper investigates contemporary topics and trends regarding the intersection of these technologies and renewable energy area, focusing on education and research. Concepts are introduced and discussed continually, and the related challenges and technical concerns are framed around transparency, equity, saturation, validity, quality, and model sizes. The identified education and research themes in the field are listed and organized, and a survey grounded on them is compared with existing initiatives. A suite of systems and portals designed and constructed to address existing gaps is described. These executive systems are informed and guided by a series of questions regarding modes of engagement, expectations on results and generated outputs, and requirements regarding transparency and branding. The delivery mechanisms, both recurrent and ad-hoc during the academic lifecycle, are summarized. Cloud architecture, implementation details regarding popular APIs and generative design platforms, and applied Software Engineering guidelines are also presented, in order to ease the use of the discussed solutions and approaches, and help in the design, development, and implementation of new solutions. Notable academic projects and creative industries are also mentioned and reviewed, and future directions and projects are outlined, regarding the application of prompts, and the consideration of dependency on architecture exposed by recent publications on the topic.

Keywords: Generative AI, cloud-based tools, renewable energy education, digital learning platforms, AI-driven content creation, interactive simulations, real-time data analysis, personalized learning, smart grid education, machine learning, energy forecasting, remote labs, scalable infrastructure, virtual classrooms, adaptive learning systems, data visualization, educational technology, sustainable energy training, cloud computing, intelligent tutoring systems.