The maturation of artificial intelligence (AI) and machine learning (ML) has transformed the process of data-driven science, leading to new fundamental insights and improved predictive models that can address many outstanding challenges in wind energy. In this emerging paradigm, AI/ML techniques provide a new pathway to obtaining computationally efficient surrogate models that encode the key insights from high fidelity models or experimental campaigns into design-oriented tools. In this webinar, NREL scientists highlight several successful efforts at NREL to apply AI/ML across wind energy science.
27 июн 2021
