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Final Project for my General Assembly Data Science Immersive

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nmcalow/Capstone_Renewable_Energy

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Problem Statement:

At what point will total electrical generation in the United States first be made up of 50% renewable resources?

Important Links:

cleaning/munging

Cleaned and separated data into a format I could use it.

EDA

Learned to better understand my data, implemented further feature engineering.

modeling

I tried a few methods, but the one standardized through each notebook is Facebook Prophet, from which predictions were generated and conclusions were able to be reached.

Note: For each notebook, run the imports once with Prophet, then comment that line out. Otherwise, plotting throws an exception.

conclusions

After going through my predictions and coming to a conclusion in the Cumulative Modeling notebook, the Conclusions notebook is where everything comes together and final predictions are delivered.

Data Dictionary:

Name Use
Coal Total of Coal
Petroleum Total of Petroleum(including Petroleum Coke and Petroleum Liquids)
Natural Gas Total of Natural Gas
Other Gases Total of other, miscellaneous gases
Nuclear Total of Nuclear energy
Wind Total of Wind energy
Solar Total of Solar energy(Includes small scale home photovoltatic and utility-scale Solar)
Hydroelectric Total of Hydroelectric Energy
Biomass Total of Biomass energy(includes Biomass wood and Biomass Waste)
Geothermal Total of Geothermal energy
Renewable Total Total of all Renewables
Nonrenewable Total Total of all Nonrenewables
Total Total energy generated
Renewable Percentage Percentage of all energy derived from renewable sources
Nonrenewable Percentage Percentage of all energy derived from nonrenewable sources

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