Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting
Authors
Keywords
-
Journal
APPLIED SOFT COMPUTING
Volume 130, Issue -, Pages 109690
Publisher
Elsevier BV
Online
2022-10-08
DOI
10.1016/j.asoc.2022.109690
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-space collaboration framework based optimal model selection for power load forecasting
- (2022) Huafeng Xian et al. APPLIED ENERGY
- Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
- (2022) Sheng-Xiang Lv et al. APPLIED ENERGY
- Balancing accuracy and diversity in ensemble learning using a two-phase artificial bee colony approach
- (2021) Yeou-Ren Shiue et al. APPLIED SOFT COMPUTING
- Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks
- (2021) K.U. Jaseena et al. ENERGY CONVERSION AND MANAGEMENT
- Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
- (2021) Zhijian Qu et al. ENERGY
- Forecasting energy consumption of long-distance oil products pipeline based on improved fruit fly optimization algorithm and support vector regression
- (2021) Gang Hu et al. ENERGY
- Forecasting carbon price using a multi‐objective least squares support vector machine with mixture kernels
- (2021) Bangzhu Zhu et al. JOURNAL OF FORECASTING
- WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
- (2021) Hakan Acikgoz et al. ENERGY
- Multiple scale self-adaptive cooperation mutation strategy-based particle swarm optimization
- (2020) Xinmin Tao et al. APPLIED SOFT COMPUTING
- Design of a combined wind speed forecasting system based on decomposition-ensemble and multi-objective optimization approach
- (2020) Liangqing Luo et al. APPLIED MATHEMATICAL MODELLING
- An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting
- (2020) Rashmi P. Shetty et al. SOFT COMPUTING
- A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
- (2020) Aytaç Altan et al. APPLIED SOFT COMPUTING
- Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms
- (2020) Abdul-Lateef Balogun et al. Geoscience Frontiers
- Self-adaptive mutation differential evolution algorithm based on particle swarm optimization
- (2019) Shihao Wang et al. APPLIED SOFT COMPUTING
- Wind speed reconstruction using a novel Multivariate Probabilistic method and Multiple Linear Regression: advantages compared to the single correlation approach
- (2019) Livio Casella JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Hybrid wind speed prediction model based on recurrent long short-term memory neural network and support vector machine models
- (2019) T. Vinothkumar et al. SOFT COMPUTING
- Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
- (2019) Hui Liu et al. RENEWABLE ENERGY
- A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
- (2018) Jingjing Song et al. APPLIED ENERGY
- Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization
- (2018) Antonio Candelieri et al. COMPUTERS & OPERATIONS RESEARCH
- A wind speed interval prediction system based on multi-objective optimization for machine learning method
- (2018) Ranran Li et al. APPLIED ENERGY
- Least squares support vector machine with self-organizing multiple kernel learning and sparsity
- (2018) Chang Liu et al. NEUROCOMPUTING
- Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method
- (2017) Seyyed Mohammad Mousavi et al. ENERGY CONVERSION AND MANAGEMENT
- Mixed kernel function support vector regression for global sensitivity analysis
- (2017) Kai Cheng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection
- (2015) Wei Zhao et al. APPLIED SOFT COMPUTING
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Short-term load forecasting using a kernel-based support vector regression combination model
- (2014) JinXing Che et al. APPLIED ENERGY
- Financial distress prediction using support vector machines: Ensemble vs. individual
- (2012) Jie Sun et al. APPLIED SOFT COMPUTING
- An adaptive neuro-fuzzy inference system approach for prediction of tip speed ratio in wind turbines
- (2010) R. Ata et al. EXPERT SYSTEMS WITH APPLICATIONS
- A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system
- (2010) A. Meharrar et al. EXPERT SYSTEMS WITH APPLICATIONS
- Day-ahead wind speed forecasting using f-ARIMA models
- (2008) Rajesh G. Kavasseri et al. RENEWABLE ENERGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now