Building TimeSeries (BTS) dataset

Building TimeSeries (BTS)数据集是由新南威尔士大学计算机科学与工程学院创建，涵盖了澳大利亚三个建筑在三年时间内的超过一万条时间序列数据点，包含240种独特的本体论。该数据集通过Brick模式对元数据进行标准化，支持建筑分析中的互操作性研究，如时间序列本体分类和零射击预测。BTS数据集的应用领域主要集中在优化建筑性能，以减少能源消耗和碳排放，促进人类福祉和应对气候变化。Building TimeSeries (BTS) Dataset was developed by the School of Computer Science and Engineering, University of New South Wales. It encompasses over 10,000 time-series data points collected over three years from three buildings in Australia, and contains 240 unique ontologies. This dataset standardizes metadata using the Brick schema, supporting interoperability research in building analytics such as time series ontology classification and zero-shot prediction. The core application areas of the BTS Dataset focus on optimizing building performance to reduce energy consumption and carbon emissions, promote human well-being, and address climate change.

搜集汇总

背景与挑战

背景概述

Building TimeSeries (BTS)数据集是由新南威尔士大学创建，涵盖澳大利亚三个建筑在三年内的超过一万条时间序列数据点，包含240种独特本体论，并通过Brick模式标准化元数据，支持建筑互操作性研究。其应用旨在优化建筑性能，以减少能源消耗和碳排放，促进人类福祉和应对气候变化。