Abstract: Systems and methods for health and energy co-optimization in building monitoring are disclosed herein, including methods and systems for monitoring a building and automatically identifying opportunities to realize energy savings without comprising the health, comfort, and productivity of building occupants. According to at least one aspect of the disclosure, machine learning methods may be applied to sensor data indicating one or more parameters related to indoor air quality (IAQ) of a building (such as carbon dioxide data and indoor air temperature data) to determine an estimate of the timing of building occupancy and an estimate of the timing of building operations. Based on these estimates, various scenarios may be identified, including time periods representing incidents of extended operations or extended occupancy. In various implementations, recommendations may be generated to adjust building systems based on the identified incidents and IAQ performance indicators for the time period.

Abstract: A method includes receiving data characterizing a time-dependent first sensor data detected by a first sensor, a time-dependent second sensor data detected by a second sensor, a time-dependent third sensor data detected by a third sensor, a first set of threshold values associated with the first sensor, a second set of threshold values associated with the second sensor, and a third set of threshold values associated with the third sensor and a time window. The first, second, and third sensors are located in a first space of a building. The method further includes calculating a first performance index, a second performance index, and a third performance index. The method also includes classifying the first performance index, the second performance index, and the third performance index into one of a plurality of performance indicators. The method further includes assigning a performance rating score for a space based on the classification.

Abstract: A method includes receiving data characterizing a time-dependent first sensor data detected by a first sensor, a time-dependent second sensor data detected by a second sensor, a time-dependent third sensor data detected by a third sensor, a first set of threshold values associated with the first sensor, a second set of threshold values associated with the second sensor, and a third set of threshold values associated with the third sensor and a time window. The first, second, and third sensors are located in a first space of a building. The method further includes calculating a first performance index, a second performance index, and a third performance index. The method also includes classifying the first performance index, the second performance index, and the third performance index into one of a plurality of performance indicators. The method further includes assigning a performance rating score for a space based on the classification.