Demand prediction module Sample Clauses

Demand prediction module. The Demand Prediction module is in charge of providing the optimal control module with the day-ahead demand profile of the connected loads. The demand calculation will be mainly based on historical consumption data and weather forecast. It will be also related to the day of the week, time of year (season) and official holidays. The underlying algorithms in this module will be specific for every demand in the demo. Equivalent load (e.g. users electricity demand) can share the same approach for the prediction strategy but will always need specific training and validation. Most common models for demand prediction make use of Random Forest and ARIMA algorithms that are the ones used in MUSE GRIDS demos. Demand prediction module does not include adaptive or automatic training schemes. When the prediction error is high a new model will be trained and validated off-line and new parameters will be provided to the algorithms.
Sample 1
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