Energy Data Analysis
The Goal:
Find any relationship between energy consumption and temperature, weather and any other factors such as seasons, holidays, etc.
The trend line in energy data analyzed in:
- Excel
- Python Pandas
- Machine Learning: Linear Regression, Keras Model, Deep Learning
Data
- Data size has 357 rows in this data set
Data Prep
- Data converted into numerical values
- Dummies columns
- Hot-Encoded columns
Tools Used
- Python
- Pandas
- Matplotlib
- Sklearn
- Keras
- TenserFlow
- Numpy
- Advanced Excel
Findings
- The equation of the line from excel has coefficients below with the R^2 value of 95% in dummies
- The equation of the line from excel has coefficients below with the R^2 value of 95% in hot-encoded