• Forecasting the energy consumption in buildings is essential for improving energy efficiency and sustainable development.

• This project presents a comprehensive review of Machine Learning techniques for forecasting time series using actual data .

• Real-time data were collected from PJM Interconnection LLC 2002-2018 and used to evaluate the efficacy and effectiveness of statistical and ML techniques and analyze energy consumption in single and ensemble scenarios.