SHDS_dataset

SHDS_dataset是由新墨西哥州立大学计算机科学系创建的数据集，专注于智能家庭设备调度问题。该数据集包含2351个实例，涵盖了从简单到复杂的多种场景，旨在通过模拟智能设备在多个家庭中的协调行为，评估和优化分布式约束优化算法。数据集详细描述了物理模型，如智能传感器和执行器的模拟，以及这些设备如何影响家庭环境（例如温度、清洁度）。此外，数据集还涉及能源消耗的优化，旨在通过智能调度减少能源峰值并降低总体成本。

The SHDS dataset was developed by the Department of Computer Science at New Mexico State University, focusing on intelligent home device scheduling problems. It comprises 2,351 instances spanning scenarios ranging from simple to complex, and is designed to evaluate and optimize distributed constraint optimization algorithms by simulating the coordinated behaviors of smart devices across multiple households. The dataset provides detailed descriptions of physical models including simulations of smart sensors and actuators, as well as how these devices impact home environments such as temperature and cleanliness. Furthermore, the dataset covers energy consumption optimization, with the goal of reducing energy peak loads and lowering overall costs through intelligent scheduling.