IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i13p5151-d1186554.html
   My bibliography  Save this article

Evaluation of the Maturity of Urban Energy Internet Development Based on AHP-Entropy Weight Method and Improved TOPSIS

Author

Listed:
  • Yongli Wang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xiangyi Zhou

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Hao Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xichang Chen

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Zixin Yan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Dexin Li

    (Electric Power Scientific Research Institute, State Grid Jilin Electric Power Co., Changchun 130012, China)

  • Chang Liu

    (Electric Power Scientific Research Institute, State Grid Jilin Electric Power Co., Changchun 130012, China)

  • Jiarui Wang

    (Electric Power Scientific Research Institute, State Grid Jilin Electric Power Co., Changchun 130012, China)

Abstract

With the rapid development of communication technology and information processing technology, the construction of the Urban Energy Internet (UEI) has become one of the important construction elements of the new power system, and it is necessary to assess and analyse its development status and potential. However, the results of the current assessment of the maturity of UEI development are relatively rare, and the transformation path of urban smart energy construction needs to be studied in depth. On this basis, this study aims to propose an improved and comprehensive evaluation model for the maturity of UEI development. This study first considers the dynamic development process of the UEI and proposes an evaluation index system for the maturity of UEI development that includes three dimensions of development status, development benefits and development prospects. Secondly, a comprehensive evaluation model based on GRA-KL-TOPSIS is constructed by using the AHP-entropy weighting method to calculate the combined weights of indicators and considering the Kulla back-Leibler distance to replace the Euclidean distance in the traditional evaluation method. Finally, the maturity of Energy Internet development is calculated for five typical first-tier cities in China (Beijing, Shanghai, Guangzhou, Tianjin and Shenyang), and the final ranking of the five cities is Shanghai > Beijing > Guangzhou > Tianjin > Shenyang. The results of the study prove the scientific validity of the model. Compared to the unimproved Topsis method, the evaluation results calculated based on the improved Topsis evaluation model are more objective and realistic in reflecting the score and rating of the cities. The analysis of the empirical results shows that cities at different stages of development should make up for their shortcomings and increase their investment in infrastructure development, technological innovation and the introduction of talents in order to accelerate the digital and intelligent development of energy.

Suggested Citation

  • Yongli Wang & Xiangyi Zhou & Hao Liu & Xichang Chen & Zixin Yan & Dexin Li & Chang Liu & Jiarui Wang, 2023. "Evaluation of the Maturity of Urban Energy Internet Development Based on AHP-Entropy Weight Method and Improved TOPSIS," Energies, MDPI, vol. 16(13), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5151-:d:1186554
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/13/5151/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/13/5151/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hao Chen & Qiulan Wan & Yurong Wang, 2014. "Refined Diebold-Mariano Test Methods for the Evaluation of Wind Power Forecasting Models," Energies, MDPI, vol. 7(7), pages 1-14, July.
    2. Shunkun Yu & Yuqing Song, 2022. "Organizational Performance Evaluation of Coal-Fired Power Enterprises Using a Hybrid Model," Energies, MDPI, vol. 15(9), pages 1-18, April.
    3. Asma Fahim & Qingmei Tan & Bushra Naz & Qurat ul Ain & Sibghat Ullah Bazai, 2021. "Sustainable Higher Education Reform Quality Assessment Using SWOT Analysis with Integration of AHP and Entropy Models: A Case Study of Morocco," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    4. Guangdong Wu , & Kaifeng Duan & Jian Zuo & Xianbo Zhao & Daizhong Tang, 2017. "Integrated Sustainability Assessment of Public Rental Housing Community Based on a Hybrid Method of AHP-Entropy Weight and Cloud Model," Sustainability, MDPI, vol. 9(4), pages 1-25, April.
    5. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jing Wang & Jian-Qiang Wang & Hong-Yu Zhang & Xiao-Hong Chen, 2017. "Distance-Based Multi-Criteria Group Decision-Making Approaches with Multi-Hesitant Fuzzy Linguistic Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1069-1099, July.
    2. Wanying Zhong & Yue Wang, 2022. "A study on the spatial and temporal variation of urban integrated vulnerability in Southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2855-2882, December.
    3. Xu, Haoxin & Romagnoli, Alessandro & Sze, Jia Yin & Py, Xavier, 2017. "Application of material assessment methodology in latent heat thermal energy storage for waste heat recovery," Applied Energy, Elsevier, vol. 187(C), pages 281-290.
    4. Yun Jin & Hecheng Wu & Dechao Sun & Shouzhen Zeng & Dandan Luo & Bo Peng, 2019. "A Multi-Attribute Pearson’s Picture Fuzzy Correlation-Based Decision-Making Method," Mathematics, MDPI, vol. 7(10), pages 1-12, October.
    5. Marta Nikanorova & Jelena Stankevičienė, 2020. "Development of environmental pillar in the context of circular economy assessment: Baltic Sea Region case," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 1209-1223, September.
    6. Ahani, Ali & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh & Sanzogni, Louis & Tarik, A. Rashid & Knox, Kathy & Samad, Sarminah & Ibrahim, Othman, 2019. "Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 331-343.
    7. Anh Ngoc-Lan Huynh & Ravinesh C. Deo & Duc-Anh An-Vo & Mumtaz Ali & Nawin Raj & Shahab Abdulla, 2020. "Near Real-Time Global Solar Radiation Forecasting at Multiple Time-Step Horizons Using the Long Short-Term Memory Network," Energies, MDPI, vol. 13(14), pages 1-30, July.
    8. Elena Andriollo & Alberto Caimo & Laura Secco & Elena Pisani, 2021. "Collaborations in Environmental Initiatives for an Effective “Adaptive Governance” of Social–Ecological Systems: What Existing Literature Suggests," Sustainability, MDPI, vol. 13(15), pages 1-29, July.
    9. Gyusun Hwang & Jun-Hee Han & Tai-Woo Chang, 2020. "An Integrated Key Performance Measurement for Manufacturing Operations Management," Sustainability, MDPI, vol. 12(13), pages 1-15, June.
    10. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    11. Jingwei Xiang & Xiaoqing Song & Jiangfeng Li, 2019. "Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    12. Katarzyna Halicka, 2020. "Technology Selection Using the TOPSIS Method," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(1), pages 85-96.
    13. Truong Ngoc Cuong & Sam-Sang You & Le Ngoc Bao Long & Hwan-Seong Kim, 2022. "Seaport Resilience Analysis and Throughput Forecast Using a Deep Learning Approach: A Case Study of Busan Port," Sustainability, MDPI, vol. 14(21), pages 1-25, October.
    14. Hyunsoo Kim & Youngwoo Kwon & Yeol Choi, 2020. "Assessing the Impact of Public Rental Housing on the Housing Prices in Proximity: Based on the Regional and Local Level of Price Prediction Models Using Long Short-Term Memory (LSTM)," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    15. Hualin Xie & Zhe Li & Yu Xu, 2022. "Study on the Coupling and Coordination Relationship between Gross Ecosystem Product (GEP) and Regional Economic System: A Case Study of Jiangxi Province," Land, MDPI, vol. 11(9), pages 1-20, September.
    16. Haider A. Khan & Shahryar Ghorbani & Elham Shabani & Shahab S. Band, 2024. "Enhancement of Neural Networks Model’s Predictions of Currencies Exchange Rates by Phase Space Reconstruction and Harris Hawks’ Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 835-860, February.
    17. Adrian Castro-Lopez & Javier Puente & Rodolfo Vazquez-Casielles, 2018. "e-Service Quality Model for Spanish Textile and Fashion Sector: Positioning Analysis and B2C Ranking by F-Topsis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 485-512, March.
    18. Binkai Xu & Lei Liu & Yanming Sun, 2023. "The Spatio-Temporal Pattern of Regional Coordinated Development in the Common Prosperity Demonstration Zone—Evidence from Zhejiang Province," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    19. NICOLAE Simona & GRIGORE George-Eduard & MUȘETESCU Radu-Cristian, 2022. "The Use of GARCH Autoregressive Models in Estimating and Forecasting the Crude Oil Volatility," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    20. Chin-Hung Kuan & Yungho Leu & Wen-Shin Lin & Chien-Pang Lee, 2022. "The Estimation of the Long-Term Agricultural Output with a Robust Machine Learning Prediction Model," Agriculture, MDPI, vol. 12(8), pages 1-15, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5151-:d:1186554. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.