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Operational Wind and Solar Power Prediction

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By using an innovative hybrid physical-ML model, we offer highly competitive short-term wind and solar power prediction of your power plant, allowing minimizing market penalties or optimizing maintenance periods. Our strategy relies in the optimization and training of Artificial Neural Networks from a big-data perspective, using wide meteorological datasets from physical models and ad-hoc Genetic Algorithms. Our Short-term prediction approach offers the forecast for different needs:

 

  • Very short-term (few seconds-30 min), for power plant control and stability

  • Short-term (30 min.-6h), for economic load planning and decision

  • Mid-term (6h-24h), for operational security in electricity market

  • Long-term (24h-1 week), for maintenance and operation scheduling

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