Personalized Home Electricity price forecasting

Over the past two decades, various machine learning methods are proposed for the prediction of electricity prices. Existing literature discusses in detail the strength and weaknesses of these methods. This dataset focuses on the exploration of online personalized machine learning models for the prediction of monthly electricity bills in developing countries. For this purpose, we gathered the dataset of monthly electricity bills of 70 users for one year. Forecasted results will help people in developing countries to modify their behavior regarding electricity consumption, especially when load shedding is a common problem.