New York State Electricity Prediction with Neural Network

Electricity load data available from NYISO. Hourly weather data available from Mesowest.

Implementation of linear regression referencing Stanford's CS229 Lecture Notes.

Python

Prerequisites

• Python 3.9+
• numpy -matplotlib

Prepare Data

./get_data.sh

TODO

• Turn datetime and str object type into numeric types
• Generate the linear regression method for the first 5 years (2001 - 2006) load data
• Compute the predicted results for the 6th year (2007) and compare it with the actual load data in 2007
• Implement backpropagation neural network for prediction, with validation, following the above steps