Construction of a Public Service Platform for Capability Verification Based on Recommendation Algorithms
Chuang Li, Dazhong Wang, Peng Liu, Huanchun Yan, Haoxiang Jin · 2024
Construction of a Public Service Platform for Power Capacity Verification Based on Recommendation Algorithms.Utilizing big data and artificial intelligence technologies, this study preprocessed historical power capacity verification data to establish and train a recommendation algorithm model for matching the supply and demand of providers and participants. Once the training met the required standards, the accuracy of this algorithm was validated within the core business processes of power capacity verification. The research delved deeply into the needs of all stakeholders in the power capacity verification field, integrating resources from various parties. By using unified data standards, business processes, and business description methods, a nationwide public service platform for power capacity verification was constructed. The application of the recommendation algorithm model on this platform demonstrated a superior fit for matching supply and demand of power capacity verification providers and participants compared to platforms without such algorithms. The construction of this public service platform based on recommendation algorithms has enhanced the informatization and intelligence level of the power capacity verification industry. It has also contributed to improving the supply-demand relationship in the industry and, to some extent, promoted the technical level and service quality of power capacity verification providers.