Clustering based on dynamic time warping to extract typical daily patterns from long-term operation data of a ground source heat pump system

Shuyang Zhang, Lun Zhang and Xiaosong Zhang

Energy, 2022, vol. 249, issue C

Abstract: While clustering has been commonly used to profile the building electricity consumption data, its application to HVAC system data is relatively less. Based on the operation data of a residential ground source heat pump (GSHP) system, a pre-processing procedure was set up, including acquisition, cleaning, missing-data fill-in, and standardization. Then hierarchical clustering was used, based on the dynamic time warping (DTW) distance calculation method. A new index, the sum of squares of errors based on DTW, was used to determine the best cluster number. The patterns were extracted based on clustering results.

Keywords: Long-term data processing; Performance analyses; Daily pattern extraction (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:249:y:2022:i:c:s0360544222006703

DOI: 10.1016/j.energy.2022.123767

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