Executive Statement
-We will create a predictive model able to forecast energy needs for each building on UCD campus.
-The forecasting tool will help in future planning of energy needs and consumption. We belive this will help optomize budget allocation and reduce waste.
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Forecasting - use ML methods to predict future energy costs and usage
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Weather normalization (optomizing energy use using weather as a factor #not climate)
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Further investigate relationships between building features and energy usage. Does an unknown feature (ie number of floors, building age)
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Test for independence between features and costs
-Chris/Kevin will focus primarily on visualization and python.
-Grant & Jesus will focus on forecasting and deeper relationships between building features
-Dale will focus on alternative energy costs
-John & Alvin will focus on Weather