Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
出版年份 2021 全文链接
标题
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
作者
关键词
Variational mode decomposition (VMD), Chaotic mapping mechanism, Grey wolf optimizer (GWO), Support vector regression (SVR), Electric load forecasting
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 228, Issue -, Pages 107297
出版商
Elsevier BV
发表日期
2021-07-10
DOI
10.1016/j.knosys.2021.107297
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A high-performance crisscross search based grey wolf optimizer for solving optimal power flow problem
- (2021) Anbo Meng et al. ENERGY
- Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments
- (2021) Bilal H. Abed-alguni et al. APPLIED SOFT COMPUTING
- Parameters identification of photovoltaic cells using improved version of the chaotic grey wolf optimizer
- (2021) Jiawen Pan et al. OPTIK
- A stock selection algorithm hybridizing grey wolf optimizer and support vector regression
- (2021) Meng Liu et al. EXPERT SYSTEMS WITH APPLICATIONS
- A memory-based Grey Wolf Optimizer for global optimization tasks
- (2020) Shubham Gupta et al. APPLIED 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
- An improved grey wolf optimizer for solving engineering problems
- (2020) Mohammad H. Nadimi-Shahraki et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities
- (2019) Sana Mujeeb et al. Sustainability
- Multi-objective complementary scheduling of hydro-thermal-RE power system via a multi-objective hybrid grey wolf optimizer
- (2019) Chaoshun Li et al. ENERGY
- Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
- (2019) Yusha Hu et al. ENERGY
- Hybrid Empirical Mode Decomposition with Support Vector Regression Model for Short Term Load Forecasting
- (2019) Wei-Chiang Hong et al. Energies
- Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting
- (2019) Guo-Feng Fan et al. Energies
- Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
- (2019) Shouxiang Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
- (2019) Zichen Zhang et al. NONLINEAR DYNAMICS
- Electricity Forecasting Improvement in a Destination Using Tourism Indicators
- (2019) Oscar Trull et al. Sustainability
- Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
- (2018) Guo-Feng Fan et al. APPLIED ENERGY
- Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem
- (2018) Priyanka Singh et al. APPLIED ENERGY
- Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
- (2018) Lan Wang et al. APPLIED ENERGY
- A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
- (2018) Jingjing Song et al. APPLIED ENERGY
- Intelligent Grey Wolf Optimizer – Development and application for strategic bidding in uniform price spot energy market
- (2018) Akash Saxena et al. APPLIED SOFT COMPUTING
- Multinodal load forecasting for distribution systems using a fuzzy-artmap neural network
- (2018) Thays Abreu et al. APPLIED SOFT COMPUTING
- Grey wolf optimization based clustering algorithm for vehicular ad-hoc networks
- (2018) Muhammad Fahad et al. COMPUTERS & ELECTRICAL ENGINEERING
- A Hybrid Seasonal Mechanism with a Chaotic Cuckoo Search Algorithm with a Support Vector Regression Model for Electric Load Forecasting
- (2018) Yongquan Dong et al. Energies
- Priority index considering temperature and date proximity for selection of similar days in knowledge-based short term load forecasting method
- (2018) M. Karimi et al. ENERGY
- Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
- (2018) Erick Meira de Oliveira et al. ENERGY
- A hybrid method of dynamic cooling and heating load forecasting for office buildings based on artificial intelligence and regression analysis
- (2018) Jing Zhao et al. ENERGY AND BUILDINGS
- BP neural network based flexural strength prediction of open-porous Cu-Sn-Ti composites
- (2018) Biao Zhao et al. Progress in Natural Science-Materials International
- BP neural network based flexural strength prediction of open-porous Cu-Sn-Ti composites
- (2018) Biao Zhao et al. Progress in Natural Science-Materials International
- Utility companies strategy for short-term energy demand forecasting using machine learning based models
- (2018) Tanveer Ahmad et al. Sustainable Cities and Society
- Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China
- (2018) Jianzhou Wang et al. APPLIED SOFT COMPUTING
- Short term load forecasting based on feature extraction and improved general regression neural network model
- (2018) Yi Liang et al. ENERGY
- Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems
- (2018) Tanveer Ahmad et al. Sustainable Cities and Society
- An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint
- (2018) Hongbin Qin et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Diagnosis of Parkinson’s disease using modified grey wolf optimization
- (2018) Prerna Sharma et al. Cognitive Systems Research
- Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model
- (2017) Guo-Feng Fan et al. Energies
- Short-term load forecasting using a two-stage sarimax model
- (2017) Agostino Tarsitano et al. ENERGY
- A robust regression method based on exponential-type kernel functions
- (2017) Francisco de A.T. De Carvalho et al. NEUROCOMPUTING
- Electrical load forecasting models: A critical systematic review
- (2017) Corentin Kuster et al. Sustainable Cities and Society
- A combined model based on multiple seasonal patterns and modified firefly algorithm for electrical load forecasting
- (2016) Liye Xiao et al. APPLIED ENERGY
- A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
- (2016) Mingfei Niu et al. ATMOSPHERIC ENVIRONMENT
- Pattern-based local linear regression models for short-term load forecasting
- (2016) Grzegorz Dudek ELECTRIC POWER SYSTEMS RESEARCH
- A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks
- (2016) Guoqiang Sun et al. Energies
- Hybrid Short Term Wind Speed Forecasting Using Variational Mode Decomposition and a Weighted Regularized Extreme Learning Machine
- (2016) Nantian Huang et al. Energies
- Using the ensemble Kalman filter for electricity load forecasting and analysis
- (2016) Hisashi Takeda et al. ENERGY
- Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods
- (2016) Yachao Zhang et al. ENERGY CONVERSION AND MANAGEMENT
- Forecasting electricity consumption in Pakistan: the way forward
- (2016) Anwar Hussain et al. ENERGY POLICY
- A variational mode decompoisition approach for analysis and forecasting of economic and financial time series
- (2016) Salim Lahmiri EXPERT SYSTEMS WITH APPLICATIONS
- A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting
- (2016) Saima Hassan et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A new model selection strategy in time series forecasting with artificial neural networks: IHTS
- (2016) Serkan Aras et al. NEUROCOMPUTING
- Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression
- (2016) Guo-Feng Fan et al. NEUROCOMPUTING
- Filter bank property of variational mode decomposition and its applications
- (2016) Yanxue Wang et al. SIGNAL PROCESSING
- Intraday stock price forecasting based on variational mode decomposition
- (2016) Salim Lahmiri Journal of Computational Science
- A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables
- (2015) D.H. Vu et al. APPLIED ENERGY
- Hybridization of seasonal chaotic cloud simulated annealing algorithm in a SVR-based load forecasting model
- (2015) Jing Geng et al. NEUROCOMPUTING
- Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis
- (2015) Salim Lahmiri PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Forecasting wind speed using empirical mode decomposition and Elman neural network
- (2014) Jujie Wang et al. APPLIED SOFT COMPUTING
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- A review on applications of ANN and SVM for building electrical energy consumption forecasting
- (2014) A.S. Ahmad et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting
- (2013) Fuh-Yuh Ju et al. APPLIED MATHEMATICAL MODELLING
- Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting
- (2013) Guo-Feng Fan et al. Energies
- Short-term solar irradiance forecasting using exponential smoothing state space model
- (2013) Zibo Dong et al. ENERGY
- Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model
- (2013) Jie Wu et al. ENERGY CONVERSION AND MANAGEMENT
- A wavelet Elman neural network for short-term electrical load prediction under the influence of temperature
- (2012) Sanjay Kelo et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Cyclic electric load forecasting by seasonal SVR with chaotic genetic algorithm
- (2012) Wei-Chiang Hong et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A Cooperative Ant Colony Optimization-Genetic Algorithm approach for construction of energy demand forecasting knowledge-based expert systems
- (2012) Arash Ghanbari et al. KNOWLEDGE-BASED SYSTEMS
- Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm
- (2011) Dong-xiao Niu et al. APPLIED SOFT COMPUTING
- SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting
- (2011) Wei-Chiang Hong et al. Energies
- Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
- (2011) Wei-Chiang Hong ENERGY
- An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting
- (2009) Henrique S. Hippert et al. NEURAL NETWORKS
- TSVR: An efficient Twin Support Vector Machine for regression
- (2009) Xinjun Peng NEURAL NETWORKS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started