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

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