LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting

QR Code

LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting

The importance of optimizing Least Squares Support Vector Machines (LSSVM) embedded control parameters has motivated researchers to search for proficient optimization techniques. In this study, a new metaheuristic algorithm, viz., Grey Wolf Optimizer (GWO), is employed to optimize the parameter...

Full description

Bibliographic Details
Main Authors:	Zuriani, Mustaffa, Mohd Herwan, Sulaiman, M. N. M., Kahar
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/11215/ http://umpir.ump.edu.my/id/eprint/11215/1/LS-SVM%20Hyper-parameters%20Optimization%20based%20on%20GWO%20Algorithm%20for%20Time%20Series%20Forecasting.pdf

Similar Items

Training LSSVM with GWO for Price Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2015)

Integration of GWO-LSSVM for time series predictive analysis
by: Zuriani, Mustaffa, et al.
Published: (2016)

Belajar Least Squares Support Vector Machines (LS-SVM) dalam masa seminggu
by: Mohd Herwan, Sulaiman, et al.
Published: (2017)

Improving earth surface temperature forecasting through the optimization of deep learning hyper-parameters using barnacles mating optimizer
by: Zuriani, Mustaffa, et al.
Published: (2024)

Optimal power flow with renewable power generations using hyper-heuristic technique
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Hyper-heuristic strategies for optimal power flow problem with FACTS devices allocation in wind power integrated system
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

A novel hybrid metaheuristic algorithm for short term load forecasting
by: Zuriani, Mustaffa, et al.
Published: (2017)

LS-SVM approximate solution for affine nonlinear systems with partially unknown functions
by: Zhang, G., et al.
Published: (2014)

A hybrid prediction model for short-term load forecasting in power systems
by: Zuriani, Mustaffa, et al.
Published: (2024)

Time Series Forecasting of Energy Commodity using Grey Wolf Optimizer
by: Zuriani, Mustaffa, et al.
Published: (2015)

Time series predictive analysis based on hybridization of meta-heuristic algorithms
by: Mustaffa, Zuriani, et al.
Published: (2018)

A new method of transient stability assessment in power systems using LS-SVM
by: Abdul Wahab, Noor Izzri, et al.
Published: (2007)

Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer
by: Mohd Herwan, Sulaiman, et al.
Published: (2025)

Repeated time-series cross-validation: A new method to improved COVID-19 forecast accuracy in Malaysia
by: Azlan, Abdul Aziz, et al.
Published: (2024)

An Application of Radial Basis Function Neural Network for Short Term Load Forecasting Solution
by: Nurul Faezah, Othman, et al.
Published: (2018)

LS-DYNA for beginners: an insight into Ls-Prepost and Ls-Dyna
by: Hussain Shah, Qasim, et al.
Published: (2012)

An application barnacles mating optimizer for forecasting of full load electrical power output
by: Zuriani, Mustaffa, et al.
Published: (2020)

Hybrid firefly algorithm–neural network for battery remaining useful life estimation
by: Zuriani, Mustaffa, et al.
Published: (2024)

Optimal chiller loading solution for energy conservation using Barnacles Mating Optimizer algorithm
by: Mohd Herwan, Sulaiman, et al.
Published: (2022)

Time series predictive analysis based on hybridization of meta-heuristic algorithms
by: Zuriani, Mustaffa, et al.
Published: (2018)

Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Wind power forecasting with metaheuristic-based feature selection and neural networks
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Comparison of mabsa, PSO and GWO of PI-PD controller for dc motor
by: Nur Naajihah, Ab Rahman
Published: (2024)

Time series forecasting based on wavelet decomposition and correlation feature subset selection
by: Ahmed, Ehab Ali, et al.
Published: (2018)

An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Classification-based fast transient stability assessment of power systems using LS-SVM with enhanced feature reduction techniques
by: Abdul Wahab, Noor Izzri, et al.
Published: (2013)

Using the evolutionary mating algorithm for optimizing deep learning parameters for battery state of charge estimation of electric vehicle
by: Mohd Herwan, Sulaiman, et al.
Published: (2023)

Forecasting modelling of cockles in Malaysia by using time series analysis
by: Ngali, Zamani, et al.
Published: (2018)

From LS-PREPOST to LS-DYNA: an introduction: LS-Dyna for beginners with 13 step by step solved examples
by: Shah, Qasim Hussain, et al.
Published: (2011)

Forecasting electricity consumption using the second-order fuzzy time series
by: Tay, K. G., et al.
Published: (2020)

An Application of Grey Wolf Optimizer for Commodity Price Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2015)

Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
by: Zuriani, Mustaffa
Published: (2010)

Hybrid Metaheuristic Algorithm for Short Term Load Forecasting
by: Zuriani, Mustaffa, et al.
Published: (2016)

Forecasting Multivariate Time Series Meteorological Data for Solar Thermal Cogeneration Systems
by: Tan, Lit Ken, et al.
Published: (2017)

Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system
by: Nurnajmin Qasrina Ann, ., et al.
Published: (2023)

Omega grey wolf optimizer (ωGWO) for optimization of overcurrent relays coordination with distributed generation
by: Noor Zaihan, Jamal
Published: (2019)

Short-term forecasting of rooftop retrofitted photovoltaic power generation using machine learning
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)

Short-Term forecasting of floating photovoltaic power generation using machine learning models
by: Mohd Herwan, Sulaiman, et al.
Published: (2024)