Design of output prediction model for power grid project based on fuzzy-DEMATEL approach

Yiwen Yao; Bo Zhao; Dingheng Wang; Xueying Yang; Xiaofei Li; Zhuo Zhang

doi:10.1117/12.3015138

6 February 2024 Design of output prediction model for power grid project based on fuzzy-DEMATEL approach

Yiwen Yao, Bo Zhao, Dingheng Wang, Xueying Yang, Xiaofei Li, Zhuo Zhang

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129796F (2024) https://doi.org/10.1117/12.3015138
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

As the main calculation basis for the reasonable income of power grid enterprises, the effective assets of power grid engineering formed by the intelligent decision of power grid project greatly affect the intelligent decision of power grid enterprises. Therefore, it is necessary to predict and evaluate the benefits of project decision scientifically, comprehensively and systematically. In this paper, the power grid project output model is constructed through the Fuzzy-DEMATEL method, Fuzzy-DEMATEL-CRITIC weighting method and fuzzy comprehensive evaluation method based on the triangular membership function, and the prediction and evaluation of the decision benefits are concentrated on the rate of return. The prediction and evaluation scores of the decision benefits of the power grid project are used to judge the feasibility of the project decision and optimize the intelligent decision scheme. Finally, through the virtual case calculation, the feasibility of the model proposed in this paper is verified.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yiwen Yao, Bo Zhao, Dingheng Wang, Xueying Yang, Xiaofei Li, and Zhuo Zhang "Design of output prediction model for power grid project based on fuzzy-DEMATEL approach", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129796F (6 February 2024); https://doi.org/10.1117/12.3015138

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