Development of Anomaly Detectors for HVAC Systems using Machine Learning

The dataset refers to the operating parameters of an HVAC system that controls the environmental comfort of a non-residential building located in Turin (Italy).The dataset contains 11 variables:1. timestamp;2. temperatures of return, supply and outdoor air [°C];3. relative humidities of return, supply and outdoor air [%];4. the temperature setpoint of the return air [°C];5. the saturation temperature in the humidifier [°C];6. power required by the fans [kW];7. energy required by the fans [kWh].The data refer to the winters 2019-2020 and 2020-2021. The data is acquired every 15 minutes.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV