IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i9p3823-d1387796.html
   My bibliography  Save this article

Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

Author

Listed:
  • Fanbao Xie

    (School of History and Public Administration, Yancheng Teachers University, Yancheng 224007, China)

  • Xin Guan

    (Guangzhou Xinhua University, Dongguan 523133, China)

  • Xiaoyan Peng

    (School of Government, Sun Yat-sen University, Guangzhou 510275, China)

  • Yanzhao Zeng

    (School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China)

  • Zeyu Wang

    (School of Public Administration, Guangzhou University, Guangzhou 510006, China)

  • Tianqiao Qin

    (School of Management, Guangzhou University, Guangzhou 510006, China)

Abstract

Sustainable energy systems (SESs) occupy a prominent position in the modern global energy landscape. The purpose of this study is to explore the application of fuzzy control and neural network control in photovoltaic systems to improve the power generation efficiency and stability of the system. By establishing the mathematical model of a photovoltaic system, the nonlinear and uncertain characteristics of photovoltaic system are considered. Fuzzy control and neural network control are used to control the system, and their performance is verified by experiments. The experimental results show that under the conditions of low light and moderate temperature, the fuzzy neural network control achieves a 3.33% improvement in power generation efficiency compared with the single control strategy. Meanwhile, the system can still maintain relatively stable operation under different environmental conditions under this comprehensive control. This shows that fuzzy neural network control has significant advantages in improving power generation efficiency and provides beneficial technical support and guidance for the commercial development of SESs.

Suggested Citation

  • Fanbao Xie & Xin Guan & Xiaoyan Peng & Yanzhao Zeng & Zeyu Wang & Tianqiao Qin, 2024. "Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System," Sustainability, MDPI, vol. 16(9), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3823-:d:1387796
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/9/3823/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/9/3823/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deng, Yue & Jiang, Wanyi & Wang, Zeyu, 2023. "Economic resilience assessment and policy interaction of coal resource oriented cities for the low carbon economy based on AI," Resources Policy, Elsevier, vol. 82(C).
    2. Li, Chengming & Wang, Yilin & Zhou, Zhihan & Wang, Zeyu & Mardani, Abbas, 2023. "Digital finance and enterprise financing constraints: Structural characteristics and mechanism identification," Journal of Business Research, Elsevier, vol. 165(C).
    3. Marcin Cholewa & Farid Mammadov & Agnieszka Nowaczek, 2022. "The obstacles and challenges of transition towards a renewable and sustainable energy system in Azerbaijan and Poland," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(1), pages 155-169, March.
    4. Wang, Zeyu & Deng, Yue & Zhou, Shouan & Wu, Zhongbang, 2023. "Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms," Resources Policy, Elsevier, vol. 80(C).
    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. Zhang, Jingshen & Zhou, Xinzhu & Bai, Rong & Dong, Haoyang & Tang, Tingting & Wang, Zeyu & Yang, Ya & Huang, Feng, 2024. "Impact of environmental supervision reform on green innovation in mineral enterprises," Resources Policy, Elsevier, vol. 88(C).
    2. Yuwei Liu & Shan Qin & Jiamin Li & Ting Jin, 2023. "Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China," Sustainability, MDPI, vol. 15(23), pages 1-15, November.
    3. Wang, Huaxing & Li, Tianzi & Zhu, Junfan & Jian, Youting & Wang, Zeyu & Wang, Zengwen, 2023. "China's new environmental protection law: Implications for mineral resource policy, environmental precaution and green finance," Resources Policy, Elsevier, vol. 85(PB).
    4. Lu Zhang & Guodong Lin & Xiao Lyu & Wenjie Su, 2024. "Suppression or promotion: research on the impact of industrial structure upgrading on urban economic resilience," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. Xiao Liu & Yue Zhu, 2024. "Research on the Impact Mechanism of ETS on Green Innovation in China’s High-Carbon Industries: A Perspective of Enterprise Heterogeneity," Sustainability, MDPI, vol. 16(20), pages 1-18, October.
    6. Zhang, Ruchuan & Gao, Weiyan & Chen, Shanshan & Zhou, Li & Li, Aijun, 2024. "Dose digital transformation contribute to improving financing efficiency? Evidence and implications for energy enterprises in China," Energy, Elsevier, vol. 300(C).
    7. Shirley Thompson, 2023. "Strategic Analysis of the Renewable Electricity Transition: Power to the World without Carbon Emissions?," Energies, MDPI, vol. 16(17), pages 1-34, August.
    8. repec:bba:j00005:v:2:y:2024:i:1:p:19-38:d:284 is not listed on IDEAS
    9. Gao, Yajuan & Zhang, Congqing & Wang, Yilin & Wang, Shuaihao & Zou, Yunjin & Gao, Junhong & Wang, Zeyu, 2023. "Fiscal decentralization and rural resource utilization efficiency: Evidence from quasi-natural experiment in China," Resources Policy, Elsevier, vol. 87(PB).
    10. Hui Zhang & Jing Li & Tianshu Quan, 2023. "Strengthening or Weakening: The Impact of an Aging Rural Workforce on Agricultural Economic Resilience in China," Agriculture, MDPI, vol. 13(7), pages 1-16, July.
    11. Gao, Shiya & Guan, Xin & Tang, Run & Zhu, Junfan & Wang, Zeyu & Xu, Wei, 2023. "Resource curse, economic efficiency and green recovery based on three-subject framework," Resources Policy, Elsevier, vol. 85(PB).
    12. Beata Hysa & Anna Mularczyk, 2024. "PESTEL Analysis of the Photovoltaic Market in Poland—A Systematic Review of Opportunities and Threats," Resources, MDPI, vol. 13(10), pages 1-29, September.
    13. Yang, Ya & Zhou, Mengru & Hou, Yawei & Tang, Run & Liu, Bo & Deng, Yue, 2023. "Examining the impacts of implicit economic policy on urban environmental pollution: Unveiling pathways for sustainable recovery," Resources Policy, Elsevier, vol. 85(PA).
    14. Hongyi Wang & Yi Li & Bingyang He, 2024. "Spatial Spillover Effects of Digital Finance on Corporate ESG Performance," Sustainability, MDPI, vol. 16(16), pages 1-20, August.
    15. Jin, Ting & Liang, Feiyan & Dong, Xiaoqi & Cao, Xiaojuan, 2023. "Research on land resource management integrated with support vector machine —Based on the perspective of green innovation," Resources Policy, Elsevier, vol. 86(PB).
    16. Chen, Xiaohui & Shen, Shaowei, 2024. "Probability causal inference of interest rate fluctuations: Evidence from private credit in emerging markets," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    17. Feihong Zheng & Rongxin Diao & Hongsheng Che, 2024. "Environmental Decentralization, Digital Financial Inclusion, and the Green Transformation of Industries in Resource-Based Cities in China," Sustainability, MDPI, vol. 16(17), pages 1-26, September.
    18. Sun, Jingjing & Zhai, Chenchen & Dong, Xiaoqi & Li, Chengming & Wang, Zeyu & Li, Dandan & Sun, Yongping, 2023. "How does digital infrastructure break the resource curse of cities? Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 86(PA).
    19. Bai, Hengrui & Huang, Lingyu & Wang, Ziqi, 2024. "Supply chain financing, digital financial inclusion and enterprise innovation: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).
    20. Kofi Nyarko & Jonathan Whale & Tania Urmee, 2023. "Empowering Low-Income Communities with Sustainable Decentralized Renewable Energy-Based Mini-Grids," Energies, MDPI, vol. 16(23), pages 1-31, November.
    21. Xiaoyan Peng & Xin Guan & Yanzhao Zeng & Jiali Zhang, 2024. "Artificial Intelligence-Driven Multi-Energy Optimization: Promoting Green Transition of Rural Energy Planning and Sustainable Energy Economy," Sustainability, MDPI, vol. 16(10), pages 1-20, May.

    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:jsusta:v:16:y:2024:i:9:p:3823-:d:1387796. 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.