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Electricity load forecasting is crucial for utilities for production planning as well as marketing offers. Recently, the increasing deployment of smart grids infrastructure requires the development of more flexible data driven forecasting methods adapting quite automatically to new data sets. We propose to build clustering tools useful for forecasting the load consumption. The idea is to disaggregate...
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