<p>The rapid growth of the global economy has driven an increase in energy demand, leading to the emergence of energy services. However, meeting users’ energy demands solely through a single service remains insufficient. Consequently, selecting optimal services to collaborate and ensuring their reliability remains a significant challenge. In this paper, we propose a blockchain-based architecture for selecting energy services. Smart contracts are specifically designed and deployed to address the problem of energy service selection, storing crucial service information and transaction results on the blockchain. This approach ensures both the reliability and transparency of energy services. Furthermore, we improve the Polar Bear Optimization algorithm for energy services selection on the blockchain by introducing adaptive dynamic vision and mutation strategies. The experimental results show that the proposed method can effectively prevent tampering with energy service information and improve user’s satisfaction.</p>

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Energy service selection method based on blockchain smart contract and improved polar bear algorithm

  • Ziyi Meng,
  • Jing Li,
  • Ming Zhu,
  • Yuhong Yan

摘要

The rapid growth of the global economy has driven an increase in energy demand, leading to the emergence of energy services. However, meeting users’ energy demands solely through a single service remains insufficient. Consequently, selecting optimal services to collaborate and ensuring their reliability remains a significant challenge. In this paper, we propose a blockchain-based architecture for selecting energy services. Smart contracts are specifically designed and deployed to address the problem of energy service selection, storing crucial service information and transaction results on the blockchain. This approach ensures both the reliability and transparency of energy services. Furthermore, we improve the Polar Bear Optimization algorithm for energy services selection on the blockchain by introducing adaptive dynamic vision and mutation strategies. The experimental results show that the proposed method can effectively prevent tampering with energy service information and improve user’s satisfaction.