Project Summary
The US Department of Energy (DOE) provides information regarding the status and potential impacts of energy sector disruptions via its Environment for Analysis of Geo-Located Energy Information (EAGLE-I) system run by Oak Ridge National Laboratory. EAGLE-I provides capabilities for monitoring energy infrastructure assets, reporting energy outages, displaying potential threats to energy infrastructure, and coordinating emergency response and recovery. The ability to effectively respond to and facilitate the restoration of energy systems during disasters relies on the ability of local and federal agencies and first responders to have timely, accurate, and actionable information about these disruptions. We want you to help us start to build tools and processes that will help us understand the characteristics and underlying causes of power outages.
Learning Objectives
- Understand how to create and use visualizations to show connections and correlations in big data.
- Utilize Python and Excel to explore large data frames.
- Discuss how doing tasks in parallel is more efficient than doing them in series.
- Understand how to use statistical tests to justify correlations.
- Explain the assumptions you made in your analysis. For example, if you use “total customers” for a given region to represent relative total populations between counties, acknowledge that while the members of one household are all counted as one customer and businesses are a customer too, "total customers" is still a measure of the relative size of the populations of customers living in each county.
