An Artificial Intelligence Model Recommendation Method for Power Dispatching Scenario Based on Knowledge Graph and Scene Label Matching
Author:
Affiliation:
1. China Electric Power Research Institute,Nanjing,China
2. Central China Branch of State Grid Corporation of China,Wuhan,China
Funder
Science and Technology Project of SGCC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406301/10408741/10409033.pdf?arnumber=10409033
Reference11 articles.
1. A review of machine learning for new generation smart dispatch in power systems
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding[J];Jacob;arXiv preprint,2018
3. Bidirectional LSTM-CRF models for sequence tagging[J];Huang;arXiv preprint,2015
4. How to Construct a Power Knowledge Graph with Dispatching Data?
5. Research on Intelligent Robot Engine of Electric Power Online Customer Services Based on Knowledge Graph
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