Day-Ahead Forecast of Carbon Emission Factor Based on Long and Short-Term Memory Networks
Author:
Affiliation:
1. Guangdong Power Grid Co., Ltd.,Metrology Centre of Guangzhou, Power Supply Bureau,Guangzhou,China
2. Northeastern University,Foshan Graduate School of Innovation,Foshan,China
Funder
China Southern Power Grid
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10113858/10114069/10114203.pdf?arnumber=10114203
Reference21 articles.
1. Conditional Density Forecast of Electricity Price Based on Ensemble ELM and Logistic EMOS
2. Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability
3. Emerging smart grid technology for mitigating global warming
4. Stochastic Optimization for Security-Constrained Day-Ahead Operational Planning Under PV Production Uncertainties: Reduction Analysis of Operating Economic Costs and Carbon Emissions
5. Proportional sharing assumption in tracing methodology
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