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Smart Evaluation of Green Campus Sustainability Considering Energy Utilization

Author

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  • Hongmei Zhao

    (Educational Technology and Information Center, HeiLongJiang BaYi Agricultural University, Daqing 163000, China)

  • Yang Xu

    (School of Economics and Management, Hubei University of Science and Technology, Xianning 437100, China)

  • Wei-Chiang Hong

    (Department of Information Management, Oriental Institute of Technology, New Taipei 224, Taiwan)

  • Yi Liang

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China
    Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China)

  • Dandan Zou

    (Educational Technology and Information Center, HeiLongJiang BaYi Agricultural University, Daqing 163000, China)

Abstract

With the change in energy utilization, a fast and accurate evaluation method is of great importance to promote green campus sustainability. In order to improve the feasibility and timeliness of evaluation, an intelligent evaluation model based on dynamic Bayesian inference and adaptive network fuzzy inference system (DBN-ANFIS) is proposed. Firstly, from the perspective of sustainability and considering the changes in energy utilization, a green campus evaluation index system is constructed from four levels: campus resource utilization, campus environment creation, campus usage management, and campus eco-efficiency. On this basis, the parameters of the adaptive network fuzzy inference system (ANFIS) are optimized based on dynamic Bayesian inference (DBN), so as to apply the modified model to the green campus evaluation work of the Spark big data operation platform. Finally, the scientificity of the model proposed in this paper is verified through example analysis, which is conducive to the real-time and effective evaluation of green campus sustainability and provides scientific and rational decision support to improve its management.

Suggested Citation

  • Hongmei Zhao & Yang Xu & Wei-Chiang Hong & Yi Liang & Dandan Zou, 2021. "Smart Evaluation of Green Campus Sustainability Considering Energy Utilization," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7653-:d:590900
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    References listed on IDEAS

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    1. Hamed Gholami & Mohamad Faizal Bachok & Muhamad Zameri Mat Saman & Dalia Streimikiene & Safian Sharif & Norhayati Zakuan, 2020. "An ISM Approach for the Barrier Analysis in Implementing Green Campus Operations: Towards Higher Education Sustainability," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    2. Azar, Elie & Al Ansari, Hamad, 2017. "Framework to investigate energy conservation motivation and actions of building occupants: The case of a green campus in Abu Dhabi, UAE," Applied Energy, Elsevier, vol. 190(C), pages 563-573.
    3. Dashti, Amir & Mazaheri, Omid & Amirkhani, Farid & Mohammadi, Amir H., 2021. "Molecular descriptors-based models for estimating net heat of combustion of chemical compounds," Energy, Elsevier, vol. 217(C).
    4. Heng Shue Teah & Qinyu Yang & Motoharu Onuki & Heng Yi Teah, 2019. "Incorporating External Effects into Project Sustainability Assessments: The Case of a Green Campus Initiative Based on a Solar PV System," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
    5. Koray Altintas & Ozalp Vayvay & Sinan Apak & Emine Cobanoglu, 2020. "An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    6. Yi Liang & Dongxiao Niu & Ye Cao & Wei-Chiang Hong, 2016. "Analysis and Modeling for China’s Electricity Demand Forecasting Using a Hybrid Method Based on Multiple Regression and Extreme Learning Machine: A View from Carbon Emission," Energies, MDPI, vol. 9(11), pages 1-22, November.
    7. Liang, Yi & Niu, Dongxiao & Hong, Wei-Chiang, 2019. "Short term load forecasting based on feature extraction and improved general regression neural network model," Energy, Elsevier, vol. 166(C), pages 653-663.
    8. Zhu, Bifeng & Dewancker, Bart, 2021. "A case study on the suitability of STARS for green campus in China," Evaluation and Program Planning, Elsevier, vol. 84(C).
    9. Wu, Peng & Song, Yongze & Shou, Wenchi & Chi, Hunglin & Chong, Heap-Yih & Sutrisna, Monty, 2017. "A comprehensive analysis of the credits obtained by LEED 2009 certified green buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 370-379.
    10. Wu, Yunna & Zhang, Ting, 2021. "Risk assessment of offshore wave-wind-solar-compressed air energy storage power plant through fuzzy comprehensive evaluation model," Energy, Elsevier, vol. 223(C).
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    Cited by:

    1. Guoqiang He & Tao Yu, 2023. "Evaluating the Benefits and Potential of “Plastic Reduction”: A Case Study of College Students in Western China," Sustainability, MDPI, vol. 15(24), pages 1-14, December.
    2. Ana M. Barreiros & Anabela Durão & Ana Galvão & Cristina Matos & Dina Mateus & Ivo Araújo & Luís Neves & Mário Matos & Sandra Mourato, 2023. "Analyzing Green Behavior and the Rational Use of Water in Portuguese Higher Education Campi," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    3. Junhong Hao & Xialin Ye & Chenfei Yu & Jiayuan Liu & Yimin Ruan & Yingxin Zhang & Feng Hong & Dongyue Zhang, 2023. "A Novel Individual Carbon Emission Evaluation and Carbon Trading Model for Low-Carbon University Campuses," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    4. Ivo Araújo & Leonel J. R. Nunes & António Curado, 2023. "Preliminary Approach for the Development of Sustainable University Campuses: A Case Study Based on the Mitigation of Greenhouse Gas Emissions," Sustainability, MDPI, vol. 15(6), pages 1-18, March.

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