Research on Carbon Emission Prediction Techniques for Intelligent Parks in New-Generation Power Systems
Abstract
References
Index Terms
- Research on Carbon Emission Prediction Techniques for Intelligent Parks in New-Generation Power Systems
Recommendations
Research on PISC-VMD-GRU carbon emission prediction algorithm
CAIBDA '24: Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and AlgorithmsThis paper presents a prediction model of gated cycle unit (PISC-VMD-GRU) considering the carbon emission from industrial, energy and the total carbon emission and their variation mode decomposition (VMD). First of all, the total carbon emission data is ...
Evaluation and Comparison of Carbon Emission Prediction Models in Industrial Parks
BDEIM '23: Proceedings of the 2023 4th International Conference on Big Data Economy and Information ManagementCarbon emission forecasting of industrial parks is an indispensable key step to achieve carbon neutrality. The carbon emission prediction and analysis models of industrial parks have various forms and different requirements, and some studies lack in-...
Prediction on Net Carbon Emissions of Yunnan under Emissions and Forest Carbon Sinks
CDCIEM '11: Proceedings of the 2011 International Conference on Computer Distributed Control and Intelligent Environmental MonitoringThis paper predicts Net Carbon Emissions of Yunnan form 2007 to 2050 through energy consumption carbon emissions based on economic growth model and forest carbon sinks based on CO2FIX model. Further, we analyze the influencing factors of carbon ...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 9Total Downloads
- Downloads (Last 12 months)9
- Downloads (Last 6 weeks)3
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format