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Bayesian Optimization of the Layout of Wind Farms with a High-Fidelity Surrogate Model

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-36027-5_26

Publication URI: http://dx.doi.org/10.1007/978-3-031-36027-5_26

Type: Book Chapter

Book Title: Computational Science - ICCS 2023 - 23rd International Conference, Prague, Czech Republic, July 3-5, 2023, Proceedings, Part IV (2023)

Page Reference: 344-352