Optimization, Uncertainty and Machine Learning in Wind Energy Conversion Systems

Language: English

Published by Springer Jan 2026, 2026

9819779111 / 9789819779116

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This item is printed on demand - Print on Demand Titel. Neuware -This book presents state-of-the-art technologies in wind farm layout optimization and control to improve the current industry/research practice. The contents take readers towards a different kind of uncertainty handling through the discussion on several techniques enabling maximum energy harnessing out of uncertain situations. The book aims to give a detailed overview of such concepts in the first part, where the recent advancements in the fields of (i) Wind farm layout optimization, (ii) Multi-objective Optimization and Uncertainty handling in optimization methods, (iii) Development of Machine Learning-based surrogate models in optimization, and (iv) Different types of wake models for wind farms will be discussed. The second part will cover the application of the aforementioned techniques on the wind farm layout optimization and control through several chapters such as (i) Wind farm performance assessment using Computational Fluid Dynamics (CFD) tools, (ii) Artificial Neural Network (ANN) based hybrid wake models, (iii) Long Short-term Memory (LSTM) & Support Vector Regression (SVR) based forecasting and micro-siting, (iv) windfarm micro-siting using data-driven Robust Optimization (RO) as well as Generative Adversarial Networks (GANs), (v) Reinforcement learning (RL) based wind farm control and (vi) Application of eXplainable AI (XAI) tools for interpreting wind time-series data. In this manner, the book provides state-of-the-art techniques in the fields of multi-objective optimization, Evolutionary Algorithms, Machine Learning surrogate models, Bayesian Optimization, Data Analysis, and Optimization under Uncertainty and their applications in the field of wind energy generation that can be extremely generic and can be applied to many other engineering fields. This volume will be of interest to those in academia and industry.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.

Seller Inventory # 9789819779116

Title
Optimization, Uncertainty and Machine Learning in Wind Energy Conversion Systems
Author
Kishalay Mitra
Publisher
Springer Jan 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9819779111
ISBN 13
9789819779116
Item weight
493 grams
Dimensions
235x155x15 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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