The Sub-metered HVAC Implemented for Demand Response (SHIFDR) dataset is a massive dataset that captures the response of individual commercial building HVAC system components to demand response events
Dataset supporting the review research in the article: Z. Krivohlava, S. Chren, B. Rossi (2022). "Failure and Fault Classification for Smart Grids", Energy Informatics , Springer. Included mat
创建 Rainforest Automation Energy (RAE) 数据集是为了帮助智能电网研究人员测试他们利用智能电表数据的算法。 RAE 的初始版本包含来自两个住宅的 1Hz 数据(主电表和副电表)。除了电力数据,房屋恒温器的环境和传感器数据也包括在内。其中一所房屋的分表数据包括电力公司感兴趣的热泵和出租套件捕获数据。
The smart grid analytics market reached a value of more than USD 1.95 billion in 2023. it is expected to grow at a CAGR of 3.75% between 2024 and 2032.