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Optimization and benefit evaluation model of a cloud computing-based platform for power enterprises.

Xueli Yin1, Xuguang Zhang1, Luyao Pei1

  • 1Energy Development Research Institute, CSG.,, Guangzhou, 510663, People's Republic of China.

Scientific Reports
|July 20, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized cloud computing model for the power industry, enhancing efficiency and reducing costs. It improves resource utilization and operational performance for digital transformation.

Keywords:
Benefit evaluationCloud computingModel establishmentPlatform optimizationPower enterprises

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Operations Research

Background:

  • The digital transformation of the power industry faces challenges due to a lack of systematic optimization and evaluation methods for cloud computing.
  • Existing cloud solutions often lack tailored mechanisms for the specific demands of power enterprises.

Purpose of the Study:

  • To develop an integrated optimization and benefit evaluation model for cloud computing platforms specifically designed for power enterprises.
  • To address limitations in current cloud applications by focusing on resource scheduling, load balancing, and computational efficiency.

Main Methods:

  • A multidimensional optimization framework incorporating path planning, condition coefficient computation, and load regulation.
  • An improved lightweight genetic algorithm coupled with elastic resource allocation for dynamic adaptation.
  • Containerized deployment and intelligent orchestration for efficient operations.

Main Results:

  • Achieved a 46% reduction in failure recovery time and a 78% improvement in high-load throughput.
  • Increased resource utilization by nearly 60% and reduced monthly operating costs by 43%.
  • Demonstrated superior computational response time and fault tolerance compared to traditional models.

Conclusions:

  • The proposed model offers a scalable, integrated framework for optimizing and evaluating cloud computing in the power sector.
  • Provides significant improvements in operational efficiency, cost control, and decision support for power enterprises.
  • Establishes a quantitative foundation for an intelligent cloud computing ecosystem in the energy industry.