Benchmark Datasets

The Benchmark Datasets project is a three-year collaboration between four laboratories to gather and curate high-resolution building systems data from a small set of buildings. These datasets include detailed, well-calibrated time series of operational and environmental conditions, aimed at improving energy efficiency, demand flexibility, and benchmarking algorithms. The project ensures data is documented with collection methods, intended use cases, quality notes, and public availability, making it broadly applicable for high-impact building performance research.

基准数据集项目（Benchmark Datasets Project）是由四家实验室联合开展的为期三年的合作项目，旨在从少量楼宇中采集并整理高分辨率楼宇系统数据。此类数据集包含经过精准校准的楼宇运行状态与环境参数详细时序数据，其研发目标为提升能源利用效率、增强需求侧灵活性以及优化基准测试算法。本项目要求所有数据均附带采集方法、预期应用场景、质量说明以及公开获取渠道等完整文档记录，使其可广泛应用于高影响力的楼宇性能研究领域。

搜集汇总

背景与挑战

背景概述

该数据集是一个三年期、四个实验室合作的项目，旨在收集和整理少量高分辨率建筑运行与室内外环境时间序列数据，以优化建筑能源效率和需求灵活性，并为算法提供基准。数据经过详细文档化，包括收集方法、目标用例和质量说明，并公开可用，适用于高影响力的建筑性能研究。