solar

数据集'solar'由GERAD和Polytechnique Montréal创建，旨在为黑盒优化（BBO）提供基准测试实例。该数据集包含10个问题实例，模拟了集中式太阳能热电厂的运行，包括多个子系统如定日镜场、中央腔体接收器、熔盐热能存储等。数据集考虑了多种优化变量和约束，包括确定性和随机性问题，以及多目标和隐藏约束。创建过程中，研究者确保了跨平台的可重复性，并提供了变保真度静态替代模型。该数据集适用于解决工程设计和能源系统优化等实际问题。The 'solar' dataset was developed by GERAD and Polytechnique Montréal to serve as a benchmark suite for black-box optimization (BBO). It includes 10 problem instances that simulate the operational processes of concentrated solar power (CSP) plants, covering multiple subsystems such as heliostat fields, central cavity receivers, and molten salt thermal energy storage systems. The dataset integrates a wide range of optimization variables and constraints, encompassing both deterministic and stochastic optimization problems, as well as multi-objective and hidden constraints. During its development, the authors ensured cross-platform reproducibility, and provided variable-fidelity static surrogate models for the dataset. This benchmark dataset is well-suited for addressing real-world tasks including engineering design and energy system optimization.