Points for Energy Renovation (PointER)

Points for Energy Renovation (PointER)数据集由慕尼黑工业大学和斯坦福大学的研究团队创建，包含超过一百万个英格兰建筑物的点云数据。该数据集通过结合地理参考的LiDAR数据和英国能源性能数据库，提供了建筑物的三维表示及其能源特性。数据集覆盖了英格兰的多个城乡区域，其中约半数建筑物关联了能源特性。创建过程涉及使用开源代码生成建筑点云，并可通过添加建筑特征轻松扩展至其他研究领域。该数据集主要应用于建筑能源建模，旨在解决建筑能源效率评估的问题，支持欧洲绿色协议中的建筑翻新目标。

The Points for Energy Renovation (PointER) dataset was created by a collaborative research team from the Technical University of Munich and Stanford University. It encompasses over one million point cloud datasets of buildings located across England. By integrating georeferenced LiDAR data and the UK Energy Performance Database, this dataset offers three-dimensional representations of buildings along with their energy performance characteristics. The dataset covers various urban and rural areas in England, with approximately half of the included buildings linked to energy performance attributes. The development of PointER utilizes open-source code for generating building point clouds, and it can be conveniently extended to other research fields by incorporating additional building-related features. Primarily applied in building energy modeling, this dataset is designed to tackle challenges in building energy efficiency assessment, thereby supporting the building renovation objectives outlined in the European Green Deal.