Analyzing Building Energy Consumption Patterns for Green Smart City Development Using a Data-driven Method

DOI

10.2991/978-94-6463-449-5_72How to use a DOI?

Keywords

Building energy; Smart city; Principal component analysis; Clustering; Energy mapping

Abstract

In the current era of dual-carbon construction, analyzing the energy consumption patterns of buildings is crucial for the development of green and low-carbon smart cities. This study analyzes the energy consumption of buildings with various functions, revealing the spatial and temporal patterns and their probability distributions. For the same type of buildings, the study further examines the correlations among main energy consumptions—water, electricity, and natural gas. The analysis is achieved by adopting the principal component analysis to reduce the dimensionality of high-dimensional building data, and employing the K-means clustering algorithm to categorize the energy consumption of buildings for various purposes. This study find that the energy consumption patterns of different functional buildings are different, and there is a positive correlation between all kinds of energy consumption, and the time variation is relatively strong. The conclusions can help to lay a solid foundation of building operations and maintenance in terms of the energy consumption and manage energy utilization for different regions and time periods for the development of green smart city.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jian Zhang
AU  - Xin Guo
AU  - Hao Fu
AU  - Tingxu Chen
AU  - Yue Zhang
PY  - 2024
DA  - 2024/06/30
TI  - Analyzing Building Energy Consumption Patterns for Green Smart City Development Using a Data-driven Method
BT  - Proceedings of the 2024 8th International Conference on Civil Architecture and Structural Engineering (ICCASE 2024)
PB  - Atlantis Press
SP  - 733
EP  - 740
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-449-5_72
DO  - 10.2991/978-94-6463-449-5_72
ID  - Zhang2024
ER  -