Electricity Consumption Model Analysis based on Sparse Principal Components

Bo Yao, Yiming Xu, Yue Pang, Chaoyi Jin, Zijing Tan, Xiangdong Zhou, Yun Su

Abstract

The well-being of people, industry and economy depends on reliable, sustainable and affordable energy. The analysis on energy consumption model, especially on electricity consumption model, plays an important role in providing guidance that makes energy system stable and economical. In this paper, clustering based on electricity consumption model is imposed to categorize consumers, and Sparse Principal Components Analysis (SPCA) is employed to analyse electricity consumption model for each group clustered. Experimental results show that our methods can automatically divide a day into peak times and off-peak times, so as to reveal in detail the electricity consumption model of different types of consumers. Additionally, we study the relationships between social background of consumers and their electricity consumption model. Our experimental results show that social background of consumers has impact on their consumption model, as expected, but cannot fully determine it.

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Paper Citation


in Harvard Style

Yao B., Xu Y., Pang Y., Jin C., Tan Z., Zhou X. and Su Y. (2018). Electricity Consumption Model Analysis based on Sparse Principal Components.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 590-596. DOI: 10.5220/0006715405900596


in Bibtex Style

@conference{icpram18,
author={Bo Yao and Yiming Xu and Yue Pang and Chaoyi Jin and Zijing Tan and Xiangdong Zhou and Yun Su},
title={Electricity Consumption Model Analysis based on Sparse Principal Components},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={590-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006715405900596},
isbn={978-989-758-276-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Electricity Consumption Model Analysis based on Sparse Principal Components
SN - 978-989-758-276-9
AU - Yao B.
AU - Xu Y.
AU - Pang Y.
AU - Jin C.
AU - Tan Z.
AU - Zhou X.
AU - Su Y.
PY - 2018
SP - 590
EP - 596
DO - 10.5220/0006715405900596