We helped develop a custom forecasting solution, for one of North America's leading provider of HVAC solutions, using machine learning and deep learning algorithms like ARIMA, ETS, PROPHET, and Neural Network, which were ensembled to obtain higher accuracy against the traditional time-series forecasting algorithms. More information on this case study is available for download.