Submission for The East Coast Datathon of The Data Open 2019, sponsored by Citadel, at Princeton University
- See Team_24.pdf for our complete, submitted report
- See /code folder for data analysis files written in Python
February 23, 2019
"Your goal is to analyze the provided datasets—and possibly in combination with external data— and explore hypotheses concerning the datasets you deem relevant. You should strive to reach a proposition with interesting findings that supports and/or furthers the understanding of how various factors influence the energy industry today"
With the world growing increasingly alarmed at the impact that emissions have on the global environment and the mounting evidence of climate change, countries have started committing to decreasing carbon emissions and finding ways to shift to cleaner energy. Within the United States, many states have shifted from using coal or natural gas to renewable sources such as hydroelectric, solar, and wind energy, and the global renewable energy market is expected to reach record high market demand in the decade to come. However, one of the key issues is whether it is profitable for businesses to create power plants that rely renewable resources, and whether or not the current supply and demand make such businesses viable. Thus, our topic question is: What can we discover about the market potential of renewable resources within the United States?
Jesse Zhong, Kevin Feng, and Qing Huang