Student Presenter(s): Sarah Johnson
Faculty Mentor: Jerry Cheng
School/College: Engineering & Computing Sciences, Manhattan

The focus of this research is on utilizing data collected from solar technologies in Puerto Rico, along with datasets on energy emissions, to explore the correlation between the current energy consumption crisis in Puerto Rico and the need for solar energy. The research aims to highlight the importance of renewable energy sources in the postmodern world and evaluate the detection levels of solar energy in Puerto Rico. Additionally, the research seeks to examine the impact of greenhouse gas emissions on the environment and the potential benefits of shifting towards renewable energy sources such as solar power. Overall, this research event aims to shed light on the potential of machine learning techniques for addressing the energy crisis in Puerto Rico and promoting sustainable energy practices.