The goal of the project was to develop a simple yet rigorous method for mapping Fuel Poverty across a city or region. By using proxy indicators from the U.S. census, we were able to create a Multivariate Gaussian Model capable of predicting Fuel Poverty. The model was trained with data from the 167 block groups in Worcester MA and could, in general, predict Fuel Poverty fairly accurately. However, further research is needed to better evaluate the model226128159s effectiveness, and expand model training and the number of proxy indicators used.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Amendolare, Nicholas D.

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042909-222207

Award

• Provost's MQP Award

Advisor

• Krueger, Robert

Year

• 2009

Date created

• 2009-04-29

Location

• Worcester

Resource type

• Major Qualifying Project

Major

• Environmental Policy & Development

Rights statement

• In Copyright

Last modified

• 2023-01-20