Fast DC Optimal Power Flow Based on Deep Convolutional Neural Network
Author:
Affiliation:
1. The Hong Kong Polytechnic University,Electrical Engineering Department,Hong Kong,China
Funder
Hong Kong Polytechnic University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9845798/9845816/09846143.pdf?arnumber=9846143
Reference18 articles.
1. Optimal Power Flow Using Graph Neural Networks
2. Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
3. The impacts of convex piecewise linear cost formulations on AC optimal power flow
4. A survey on deep learning-based panoptic segmentation
5. DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems;pan;arXiv pre-print server,2021
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1. Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms;2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH);2023-03-15
2. Active Constraint Identification Assisted DC Optimal Power Flow;2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2022-07-08
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