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April 14, 2026International Journal of Reasoning-based Intelligent Systems0 citationsOpen Access

Research on resource aggregation scheduling and optimal control strategies for virtual power plants based on spatio-temporal data mining analysis

HLHongtao LiDHDongyu HeZLZhengzhe Li

Key Points

  • The research aims to optimize scheduling and control strategies for virtual power plants through data analysis.
  • Application of spatio-temporal data mining techniques.
  • Analysis of resource aggregation methods.
  • Development of scheduling algorithms for power management.
  • Identification of optimal control strategies for resource allocation.
  • Enhanced efficiency in power management operations.
  • Improved scheduling based on spatio-temporal data insights.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69ddd959e195c95cdefd6a33https://doi.org/10.1504/ijris.2026.10077604
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