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A Neural Network Model for Digitizing Enterprise Carbon Assets Based on Multimodal Knowledge Mapping.

Jiexian Liu1,2, Chen Zhang1

  • 1School of Management, Hefei University of Technology, Hefei, Anhui 230009, China.

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This study digitizes enterprise carbon assets using multimodal knowledge mapping and a novel neural network model. It also develops a real option valuation model for power enterprise carbon assets, addressing current limitations.

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Area of Science:

  • Computer Science
  • Environmental Science
  • Finance

Background:

  • Enterprise carbon assets require advanced digitization and valuation methods.
  • Existing neural network entity linking struggles with semantic gaps.
  • Classical asset valuation methods are inadequate for carbon assets.

Purpose of the Study:

  • To develop a multimodal knowledge mapping approach for digitizing enterprise carbon assets.
  • To propose an improved entity linking method for neural networks.
  • To construct and validate a real option valuation model for power enterprise carbon assets.

Main Methods:

  • Utilized multimodal knowledge mapping with an entity annotation system.
  • Employed a topology-based data fusion method integrating WordNet and DBpedia.
  • Developed a graph convolutional neural network with an attention mechanism for entity linking.
  • Applied real option valuation theory and models to power enterprise carbon assets.

Main Results:

  • Successfully digitized enterprise carbon assets through multimodal knowledge mapping.
  • Enhanced entity linking accuracy by addressing semantic gaps with a hybrid neural network.
  • Constructed a validated real option model for power enterprise carbon asset valuation.
  • Identified limitations of classical methods for carbon asset valuation.

Conclusions:

  • The proposed multimodal approach and enhanced entity linking improve carbon asset digitization.
  • The real option valuation model is applicable and effective for power enterprise carbon assets.
  • Recommendations are provided to enhance future carbon asset valuation practices in power enterprises.