Evaluation method for energy saving and emission reduction effects of high energy-consuming enterprises based on K-means clustering

Liyu Huang, Miaozhuang Cai, Yin Zheng and Yuanliang Zhang

International Journal of Energy Technology and Policy, 2023, vol. 18, issue 3/4/5, 298-311

Abstract: In order to quantitatively analyse the effect of energy conservation and emission reduction control of high energy consuming enterprises, an evaluation model of energy conservation and emission reduction effect of high energy consuming enterprises based on K-means clustering was proposed. In this study, the target object of energy saving and emission reduction effect evaluation is selected first, and the optimisation state model of energy saving and emission reduction effect evaluation is constructed. Then, dynamic feature extraction is carried out on model parameters, and the K-means data clustering algorithm is adopted to conduct block fusion clustering processing on characteristic values. Finally, expert knowledge base and empirical model library are constructed to realise energy saving and emission reduction control of high-energy-consuming enterprises. The test results show that this method can reduce the energy cost, develop a scientific management plan and ensure the realisation of energy conservation and emission reduction targets.

Keywords: K-means clustering; high energy-consuming enterprises; energy saving; emission reduction; effect evaluation; profitability indicators. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=134164 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetpo:v:18:y:2023:i:3/4/5:p:298-311

Access Statistics for this article

More articles in International Journal of Energy Technology and Policy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().