A support vector based CO2 gas emission prediction system for generation power plant
The work presents an intelligent system Support Vector Regression Emission Monitoring System (SuVEMS) developed for Tenaga Nasional Berhad (TNB) Sdn. Bhd. in Peninsular Malaysia for the prediction of harmful gas emissions from electricity generating power plants in Tuanku Jaafar Power Station (TJPS)...
Saved in:
Main Authors: | Chen C.P., Tiong S.K., Albert F.Y.C., Koh S.P. |
---|---|
Other Authors: | 25824552100 |
Format: | Article |
Published: |
American Scientific Publishers
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New development of analysis tool for optimizing generation cost with gas emission via an electromagnetism like algorithm
by: Albert, F.Y.C., et al.
Published: (2017) -
New development of analysis tool for optimizing generation cost with gas emission via an electromagnetism like algorithm
by: Albert F.Y.C., et al.
Published: (2023) -
Gas Emission Prediction for Environmental Sustainability via Heterogeneous Data Sources Correlation with Support Vector Regression
by: Chen C.P., et al.
Published: (2023) -
Path control of dexterous robotic hand using genetic algorithm
by: Albert, F.Y.C., et al.
Published: (2017) -
Path control of dexterous robotic hand using genetic algorithm
by: Albert F.Y.C., et al.
Published: (2023)