An Artificial Intelligence Model Recommendation Method for Power Dispatching Scenario Based on Knowledge Graph and Scene Label Matching

In the field of power dispatching, more and more tasks have adopted artificial intelligence solutions, and related research and literature are also showing an exponential explosive growth. In order to solve the problem of artificial intelligence information overload in power dispatching scenario, and to facilitate researchers with experience in power dispatching but lacking experience in artificial intelligence to use related algorithm models more effectively and conveniently in their work, this paper constructs a domain knowledge graph of artificial intelligence models for power dispatching scenario, and proposes an artificial intelligence model recommendation method based on knowledge graph and scene label matching. According to the cosine similarity of scene labels, the artificial intelligence model mapped on the knowledge graph is recommended. This method can be applied to the actual power dispatching scenario to provide personalized artificial intelligence model recommendation for different scientific research tasks, which greatly improves the retrieval efficiency of relevant researchers.