Analysis of Renewable Energy Development in the US

Using machine learning techniques to analyze the significance of factors affecting renewable energy development in the US.

Authors

Albert Xing

Alexander George-Kennedy

Hieu Nguyen

Wei Xiong Toh

Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
data		data
gmm		gmm
hydropower_potential		hydropower_potential
kmeans		kmeans
model_3.98		model_3.98
non_renewable_data		non_renewable_data
pca		pca
producer_price_index		producer_price_index
solar_radiance		solar_radiance
state_geography		state_geography
weather		weather
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
aggregate.py		aggregate.py
consolidated_data_1998_to_2016.csv		consolidated_data_1998_to_2016.csv
consolidated_data_1998_to_2019.csv		consolidated_data_1998_to_2019.csv
consolidated_data_2017_to_2019.csv		consolidated_data_2017_to_2019.csv
model_3.98.png		model_3.98.png
model_3.98.svg		model_3.98.svg
shuffled_consolidated_data_1998_to_2016.csv		shuffled_consolidated_data_1998_to_2016.csv
shuffled_consolidated_data_2017_to_2019.csv		shuffled_consolidated_data_2017_to_2019.csv
supervised_learning.py		supervised_learning.py
unsupervised_learning.py		unsupervised_learning.py