公共游泳池操作数据集

本数据集源自法国布列塔尼地区的一个公共游泳池的传感器数据，涵盖了长时间的操作记录，包括不同季节的数据，用以支持动态模型学习。数据集内容包括水温、湿度、能源消耗等多种参数，旨在通过经济预测控制（EMPC）算法优化能源使用，同时保持服务质量。数据集的创建过程涉及从传感器收集数据，并通过移动平均等方法进行预处理。该数据集适用于研究能源管理解决方案，特别是在小型和中型设施如游泳池的温度管理方面。

This dataset is sourced from sensor data collected at a public swimming pool in Brittany, France. It contains long-term operational records including data across different seasons, intended to support dynamic model learning. The dataset covers multiple parameters such as water temperature, humidity, and energy consumption, with the goal of optimizing energy usage through Economic Model Predictive Control (EMPC) algorithms while maintaining service quality. The dataset creation process involves collecting data from sensors and preprocessing it via methods such as moving average. This dataset is suitable for research on energy management solutions, particularly temperature management in small and medium-sized facilities such as swimming pools.