Energy Demand Forecasting with IBM Granite Time Series
Languages:English
Eligibility:Eligible to registered learners
Duration:30 minutes total course time
Forecasting in time series analysis allows data scientists to identify patterns by using machine learning and then generate forecasts about the future. TinyTimeMixers (TTMs) are compact pre-trained models for Multivariate Time-Series Forecasting. The goal of this lab is to show how you can predict future trends on historical data using the IBM Granite Time Series models.
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