Link to MyST Deployment: MyST Deployment

Utility Plant Location and Demand Analysis¶

Overview & Motivation¶

This project analyzes EPA, Census, and economic data related to utility plants. The motivation behind this project is to better understand patterns and trends in utility plant location and causal effects of electricity demand.

Analysis Conducted¶

The analysis in this project includes:

• Data cleaning and preprocessing of Census and EPA data

• Exploratory analysis of fuel plants, demographic, and economic trends

• Multiple hypothesis testing

• Causal inference through linear regression

All analysis is performed using reproducible Jupyter notebooks.

Data and Methods¶

This project uses EPA, Census, and global oil data to conduct the two research questions: 1) 2)

We test our hypothesis of plant location disparities using multiple hypothesis testing, controlled by Bonferroni correction. The analysis is implemented in Python using pandas, NumPy, GeoPandas, and scikit-learn.