Energy consumption characteristics based on monitored data

a school case study

Authors

  • Kristina Vassiljeva Department of Computer Systems | Tallinn University of Technology | Smart City Centre of Excellence (Finest Twins) | Estonia
  • Margarita Matson Department of Software Science | Tallinn University of Technology | Smart City Centre of Excellence (Finest Twins) | Estonia
  • Eduard Petlenkov Department of Computer Systems | Tallinn University of Technology | Smart City Centre of Excellence (Finest Twins) | Estonia
  • Juri Belikov Department of Software Science | Tallinn University of Technology | Smart City Centre of Excellence (Finest Twins) | Estonia
  • Matrin Thalfeldt Department of Civil Engineering and Architecture | Tallinn University of Technology | Smart City Centre of Excellence (Finest Twins) | Estonia
  • Jarek Kurnitski Department of Civil Engineering and Architecture | Tallinn University of Technology | Smart City Centre of Excellence (Finest Twins) | Estonia

DOI:

https://doi.org/10.34641/clima.2022.274

Keywords:

Electricity consumption, school building, occupants’ behavior, COVID, energy, efficiency analysis, profiling

Abstract

This study is an initial step for a creation of smart platform for schools in Estonia which will model, analyze, and evaluate the real energy performance of school buildings. Energy meters provide electricity consumption data which can be used to understand energy usage patterns and finally improve building energy management. First, data preparation is made. On the following step hierarchical clustering is applied to identify the outliers of weekly electricity load profiles. Finally, daily electrical load patters are clustered and similar profiles are grouped using K-means centroids.

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Published

2022-05-19

How to Cite

Vassiljeva, K., Matson, M., Petlenkov, E., Belikov, J., Thalfeldt, M., & Kurnitski, J. (2022). Energy consumption characteristics based on monitored data: a school case study. CLIMA 2022 Conference. https://doi.org/10.34641/clima.2022.274