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