This repository includes a pair of notebooks that demonstrate basic time series analysis and forecasting techiniques using hourly energy consumption data. Forecasting techniques that were evaluated included:
- ARIMA & SARIMA
- Simple Exponential Smoothing
- Triple Exponential Smoothing (Holt-Winters)
- LSTM Neural Networks
- Prophet
The dataset used for this analysis contains hourly energy consumption data scraped from PJM Interconnection's website. A copy of the dataset can be found here: https://www.kaggle.com/robikscube/hourly-energy-consumption
Please see the following Medium articles for a detailed description of each of the forecasting methods included in these examples: