A Holistic Implementation of Data Science in Clean Energy Engineering Education
Ilya Grinberg, Saquib Ahmed, Joaquin O. Carbonara · 2024
Abstract A Holistic Implementation of Data Science in Clean Energy Engineering Education Advances in technology and economic expansion require increased use of energy. At the same time, technology has significantly improved energy efficiency and allows exploitation of a variety of diverse and plentiful sources of clean energy. This has led to a clean energy revolution, as stated by the Department of Energy [1]. We are witnessing expansion of economic activities driven by advances in clean energy technologies, which is in turn leading to new technological breakthroughs [2]. It is predicted that by 2040, artificial intelligence (AI) applications, in combination with other technologies, will become prevalent in almost every aspect of life, including but not limited to energy, healthcare, and transportation. Empowered by simultaneous increases in high-quality data, computing resources and communication infrastructure, AI will challenge societies to gain most of the benefits and at the same time reduce negative social effects [3]. This paper describes the development of a program that provides students with knowledge and skills in various aspects of energy, economics, and data science, calling attention to the areas in the program impacted by the newly developed courses, and expands on several activities designed to engage students through active learning and research experiences.