Research on Real-time Carbon Emission Factor Prediction Method for Load Nodes of Power System based on Gated Recurrent Cell Network
Author:
Affiliation:
1. Metrology Centre of Guangzhou Power Supply Bureau Guangdong Power Grid Co., Ltd.,Guangzhou,China
2. Foshan Graduate School of Innovation Northeastern University,Foshan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10255721/10255807/10256007.pdf?arnumber=10256007
Reference20 articles.
1. Approximate ideal multi-objective solution Q(λ) learning for optimal carbon-energy combined-flow in multi-energy power systems
2. Machine learning based algorithms to dispatch multiple Rapid-Start units in AGC of power systems
3. Physics-guided Deep Learning for Power System State Estimation
4. Robust energy systems scheduling considering uncertainties and demand side emission impacts
5. Estimating gaseous pollutants from bus emissions: A hybrid model based on GRU and XGBoost
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