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pd4castr forecasts are derived in a matter of seconds by a model which is formulated by a Machine Learning Algorithm (MLA) trained with historical data. This model effectively anticipates changes in participant behaviour based on known market conditions and prior to the actual changes in participant behaviour in real time.

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Formulating a model

A An MLA is used to formulate a model. A model is effectively a big equation that consumes real time predispatch and STPASA data to forecast price. Formulating a model takes a long time and retraining a known model (using new historical information) takes many hours. However once a model has been formulated, running it only takes a few seconds.

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