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Time series forecasting for electrical load and renewable generation — classical methods (ARIMA, exponential smoothing), ML approaches (regression trees, gradient …
COMING SOON
Time series forecasting for electrical load and renewable generation — classical methods (ARIMA, exponential smoothing), ML approaches (regression trees, gradient boosting), and modern deep learning (LSTM, Transformer models).
Hands-on with real utility data. The third course in GIEE's CAIGE certification track. Critical for grid operators, planners, and renewable energy professionals managing variable generation.
🚧 Coming Soon — sign up at giee.org for launch updates.
