Apriori Correlation Algorithm based Smart Grid Big Data Transaction Model Research

The rapid development of smart grid technology has resulted in the generation of vast amounts of data, commonly referred to as big data. Effectively harnessing the potential of this data requires advanced algorithms and models that can handle its complexity, variety, and volume. This research focuses on the development and implementation of an Apriori correlation algorithm-based transaction model for smart grid big data analysis. The goal is to address the challenges associated with managing and analyzing big data in the context of the smart grid and uncover meaningful correlations that can improve operational efficiency and enhance energy management. The results and analysis section highlights the identified correlation patterns, providing valuable insights into the relationships between different parameters in the smart grid big data. It also showcases the improved transaction processing efficiency achieved by the Apriori correlation algorithm-based transaction model, outperforming existing models in terms of execution time and memory consumption.