A time-series data integration method for power marketing operation and maintenance based on multidimensional data mining

As the power industry rapidly modernizes, the effective management and analysis of time-series data become increasingly crucial for enhancing operational efficiency. This paper introduces a novel method for time-series data integration, leveraging multidimensional data mining techniques to improve decision-making processes in power marketing, operations, and maintenance. By integrating data from diverse sources, this approach aims to offer precise and comprehensive support, refining operational strategies and strengthening competitive positioning in the electricity market. Experimental validations confirm that the method significantly enhances the speed and accuracy of data processing, demonstrating its potential in optimizing resource allocation and system performance. The adoption of this method promises substantial improvements in the predictive capabilities and strategic insights of power utilities.