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Code repository for EE508 final project on analysis of rooftop solar incentives in MA.

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Policy Analysis of Rooftop Solar Incentives in MA

Code written for CAS EE 508: Data Science for Conservation Decisions, Boston University fall 2021.

Note of limitations of work (as of May 2022): As I learned more about spatial statistics and modeling more generally, I have realized that this work is incomplete. In particular, I did not deal adequately with the change of support problem, specifically for joining the rooftop PV and income data. I have also since discovered limits to the American Community Survey (ACS) census income data, which are described in more detail here (US Census Bureau, 2009). I hope to return to this project at a later date to tackle it in a more statistically rigorous way. For now, please keep in mind these limitations.

Background

This analysis attempts to determine which incentives are more effective in encouraging the adoption of rooftop solar PV systems in Massachusetts, and specifically 4 study locations: Newton, West Roxbury, Hyde Park, and Milton.

Data

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Use Instructions

To replicate this project on your local machine with anaconda, enter the following command in a terminal window:

conda create --name myenv --file requirements.txt

Where myenv is the name of your local environment. Then clone this repository to edit and run the code.

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Code repository for EE508 final project on analysis of rooftop solar incentives in MA.

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