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Machine learning with laser focus

Recurso electrónico / Electronic resource
Coleção: Artigos
Título: Machine learning with laser focus / Theodore Holtom, Anthony BroomsAutor: Holtom, Theodore
Notas: Sumario: Wind energy technology is relevant to the international political objectives of the Paris Agreement, UN Sustainability Goals, the declared climate emergency, reduction of pollution, and UK green growth strategy. A number of insurance products are sensitive to wind. Wind measurements feed into the assessment of investment risk during project planning and development, while development and operational projects are subject to due diligence assessment during financial transactions, making reference to the site wind conditions and asset performance (actual or expected). Assets also need to be engineered appropriately for local wind conditions during operation, wind turbines and some other assets, such as tall buildings and bridges, undergo engineering fatigue as a result of wind. Additionally, wind turbine suppliers may provide warranty and maintenance agreements that include performance-based bonuses or penalties based on availability to generate, or guarantees of electricity sales revenue. Knowledge of wind conditions, therefore, is of financial significance.Registros relacionados: En: The Actuary : the magazine of the Institute & Faculty of Actuaries. - London : Redactive Publishing, 2019-. - 02/03/2020 Número 2 - marzo 2020 , p. 30-33Materia / lugar / evento: Energía eólica Productos de seguros Evaluación de riesgos Condiciones climáticas ambientales Gerencia de riesgos Machine learning Warranties Autores secundários: Brooms, Anthony
Outras classificações: 892.7
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