Optimization, Uncertainty and Machine Learning in Wind Energy Conversion Systems

Part 1 State-of-the-art in Optimization, Uncertainty handling, Machine Learning methods, and Wake models.- Chapter 1. Introduction.- Chpater 2. Multi-objective optimisation with uncertainty: considerations for wind farm optimisation.- Chapter 3. Offline Multi-Objective Optimisation using Surrogate-Assisted Evolutionary Algorithms with Uncertainty Quantification.- Chapter 4. Bayesian optimisation for expensive computational fluid dynamics design problems.- Chapter 5. Multidisciplinary uncertainty modelling using Copulas.

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• Tecnologia das fontes de energia renovável e alternativa
• Optimização
• Inteligência artificial

Multi-Objective Optimization;Evolutionary Algorithms;Detailed And Reduced Rrder Wind Wake Models;Machine Learning Based Surrogate Models;Bayesian Optimization;Optimization Under Uncertainty;Wind Energy Conservation Systems