Internet-connected thermostats are a promising new source of temperature and operational data in homes because they record inside temperatures, setpoints, and HVAC runtimes every five minutes. Over 20 million Internet-connected thermostats have already been installed in American homes. Data from about 20,000 connected thermostats were collected and organized by climate zone, number of occupants, floor area, and day type. A method was developed to create up to 40 representative temperature schedules which, together, can more accurately capture the diversity of heating and cooling behaviors. These results are suitable for input into schedules for building energy simulation models. This information enables more realistic simulations of American heating and cooling behavior, leading to more accurate estimates of energy consumption and savings.

连接互联网的恒温器是家庭中有希望的新的温度和运行数据来源，因为它们每五分钟记录一次室内温度，设定点和HVAC运行时间。在美国家庭中已经安装了超过2000万个与互联网连接的恒温器。收集并组织了约20,000个恒温器的数据，并按气候区，乘员人数，建筑面积和日期类型进行了整理。开发了一种方法来创建多达40个代表性的温度计划，这些计划可以一起更准确地捕获加热和冷却行为的多样性。这些结果适合输入建筑能源模拟模型的时间表中。该信息可以对美国的供热和制冷行为进行更真实的模拟，从而可以更准确地估算能源消耗和节约。