Industry correlation chart model for industry chain feature mining and industry screening for demand side response

DOI

10.2991/978-94-6463-415-0_12How to use a DOI?

Keywords

Industrial Chain; Industry Correlation; Demand Side Response; Correlation Chart; Industry Electricity

Abstract

To broaden the exploration of the latent value of industry electricity data and offer a novel perspective for socio-economic development and demand side management, this study proposes an innovative model for industry chain characteristic analysis. Initially, an industry electric energy correlation model is established, considering the time-lag characteristics of upstream and downstream industrial chains. The research object of this study is the dynamic relationship between industry electricity consumption and socio-economic trends, particularly focusing on how industry chain characteristics influence electricity consumption patterns. A solution method based on quadratic exponential smoothing is proposed to elucidate the interrelations of electric energy demand and supply among various industries. To verify our model, we conducted a comprehensive case study using monthly electricity consumption data from various industries in a certain province from 2004 to 2017. This case study encompasses 8 major industry categories and 29 subsectors, providing a robust dataset for validating our analysis method at multiple industry levels. Subsequently, leveraging the derived industry impact factor matrix, this research innovatively formulates an evaluation model for the electricity consumption characteristics of industries, along with a method to assess their developmental trends. Additionally, industry sensitivity coefficients and radiation intensity coefficients are introduced to quantify the interactive effects of electricity demand among industries and their impact on the overall socio-economic framework. Furthermore, an industry correlation matrix and diagram are developed to facilitate in-depth exploration of the industrial chain conduction relationship and effective screening of demand-side response strategies. Lastly, through case studies, the practicality and efficacy of the model in enhancing energy efficiency and optimizing the allocation of social resources are validated.

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  - Yangyun Guo
AU  - Shuyu Xiao
AU  - Min Luo
AU  - Shangli Zhou
AU  - Yuchen Lai
PY  - 2024
DA  - 2024/05/14
TI  - Industry correlation chart model for industry chain feature mining and industry screening for demand side response
BT  - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023)
PB  - Atlantis Press
SP  - 90
EP  - 110
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-415-0_12
DO  - 10.2991/978-94-6463-415-0_12
ID  - Guo2024
ER  -