Voltage stability prediction by using Artificial Immune Least Square Support Vector Machines (AILSVM)
This paper presents a new hybrid optimisation technique for voltage stability prediction called Artificial Immune Least Square Support Vector Machine (AILSVM). In this paper, a newly developed index named as Voltage Stability Condition Indicator (VSCI) was used to assess the stability condition of l...
Saved in:
Main Authors: | Abaziz N.F., Rahman T.K.A., Zakaria Z. |
---|---|
Other Authors: | 57221906825 |
Format: | Conference Paper |
Published: |
IEEE Computer Society
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
by: Zuriani, Mustaffa
Published: (2014) -
Hybrid least squares support vector machines for short term predictive analysis
by: Zuriani, Mustaffa, et al.
Published: (2017) -
Streamflow forecasting using least-squares support vector machines
by: Shabri, Ani, et al.
Published: (2012) -
Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
by: Zuriani, Mustaffa
Published: (2010) -
A public transport travel time prediction using least squares support vector machine
by: Sadat Zadeh, Seyed Mojtaba Tafaghod
Published: (2013)