As global wind capacity approaches 1 terawatt, operators still struggle with 18-23% energy curtailment due to inaccurate forecasts. What if a wind speed predictor could transform this scenario? The answer lies in advanced prediction models that analyze atmospheric physics through machine learning frameworks.
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