Economic and Reliability Benefits of Improved Offshore Wind Forecasting
Research Paper#Renewable Energy, Power Grid Optimization, Machine Learning🔬 Research|Analyzed: Jan 4, 2026 00:09•
Published: Dec 25, 2025 18:11
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•ArXivAnalysis
This paper investigates the economic and reliability benefits of improved offshore wind forecasting for grid operations, specifically focusing on the New York Power Grid. It introduces a machine-learning-based forecasting model and evaluates its impact on reserve procurement costs and system reliability. The study's significance lies in its practical application to a real-world power grid and its exploration of innovative reserve aggregation techniques.
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View Original"The improved forecast enables more accurate reserve estimation, reducing procurement costs by 5.53% in 2035 scenario compared to a well-validated numerical weather prediction model. Applying the risk-based aggregation further reduces total production costs by 7.21%."