Table 1 Summary of abnormality detection and filtering methods for different sensors.

From: A two-year dataset of energy, environment, and system operations for an ultra-low energy office building

Sensors

Methods

Weather

Air temperature

Absolute Difference/Repetition

Relative humidity

Absolute Difference/Repetition

Wind speed

Absolute Difference/Repetition

Wind direction

Absolute Difference/Repetition

Rain

Absolute Difference/Repetition

Solar radiation

Absolute Difference/Repetition

Building façade

Façade temperature

Absolute Difference/Repetition

Load

Heating/ Cooling

Z-score

Domestic Hot Water

Z-score

Lighting

Z-score

Plug

Z-score

IT

Z-score

Control

Z-score

Others

Z-score

Indoor sensors

Air temperature

Absolute Difference/Mahalanobis distance/Repetition

Relative humidity

Absolute Difference/Z-score/Repetition

CO2 concentration

Absolute Difference/DBSCAN/Repetition

Slab temperature

Absolute Difference/Mahalanobis distance/Repetition

Sensors for systems

BTU meters

Z-score/Mahalanobis distance

Window openings

Absolute Difference

Valve status

Absolute Difference