Research on the Prediction System of State Grid Corporation of China's Bidding Business Based on Ensemble Learning and Reflex

The bidding business of State Grid Corporation of China plays an important role in the procurement of power equipment, services, and infrastructure. With the increasing complexity and fierce competition in the bidding process, accurately predicting the bidding results has become a crucial factor in improving decision-making efficiency and optimizing resource allocation. This paper proposes a bidding business prediction system based on integrated learning and the Reflex framework. Aiming to enhance the prediction accuracy and the system's adaptive ability through artificial intelligence technology, so as to support more efficient procurement decisions.