未明确提及

本研究未明确提及数据集的具体名称，但介绍了一种基于游戏化方法的智能建筑基础设施框架，旨在激励建筑居住者重新考虑个人能源使用，并对环境产生积极影响。该框架通过创建一个界面，允许建筑管理者与居住者互动，并可能激励节能行为。数据集包含从居住者行为中收集的资源使用数据，如房间照明等，用于预测能源资源使用模式，展示方法的预测性能。数据集的应用领域包括提高建筑能源效率，通过动态协议促进需求响应项目的实施，以及通过游戏化平台激励居住者节能。

This study does not explicitly mention the specific name of the dataset, but introduces a gamification-based smart building infrastructure framework, which aims to encourage building occupants to reconsider their personal energy use and generate positive environmental impacts. This framework creates an interface that allows building managers to interact with occupants, potentially incentivizing energy-saving behaviors. The dataset contains resource usage data collected from occupants' behaviors, such as room lighting, which is used to predict energy resource usage patterns and demonstrate the predictive performance of the proposed method. The application areas of the dataset include improving building energy efficiency, facilitating the implementation of demand response programs through dynamic protocols, and incentivizing occupants to save energy via gamification platforms.