[3] The M4 Competition: 100,000 time series and 61 forecasting methods. International Journal of Forecasting (2020). [4] A robust and resilience machine learning for forecasting agri-food production.

Forecasting demand for new products was once a tedious and uncertain game of guesswork. This framework demonstrates that it doesn’t have to be that way.

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only existing device operation data. Developed by researchers at the Institute of ...

July 24 (Reuters) - Self-driving technology firm Mobileye Global (MBLY.O), opens new tab raised its forecast for fiscal 2025 revenue on Thursday, anticipating a rise in orders for its autonomous ...