Predicting My SRP Bill With SARIMAX — A Phoenix Homeowner’s ML Project

1. 1Collect historical SRP bill data
2. 2Preprocess the data by handling missing values and converting date formats
3. 3Split the data into training and testing sets
4. 4Implement a SARIMAX model to forecast future bills
5. 5Evaluate the model's performance using metrics such as mean absolute error (MAE) and mean squared error (MSE)

Data scientists and analysts can benefit from this project to predict energy costs and optimize resource allocation. It can also be useful for homeowners to anticipate and manage their energy expenses.

💡 SARIMAX can be used to accurately predict energy costs, helping homeowners and businesses optimize their resource allocation

Predict your SRP bill with SARIMAX!