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A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
The increasing penetration level of energy generation from renewable sources is demanding for more accurate and reliable forecasting tools to support classic power grid operations (e. g., unit commitment, electricity market clearing or maintenance planning).
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