Related references
Note: Only part of the references are listed.A combined forecasting model for time series: Application to short-term wind speed forecasting
Zhenkun Liu et al.
APPLIED ENERGY (2020)
A new history-guided multi-objective evolutionary algorithm based on decomposition for batching scheduling
Zhao-hong Jia et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Point and interval forecasting for wind speed based on linear component extraction
Wen Ding et al.
APPLIED SOFT COMPUTING (2020)
Improved decomposition-based multi-objective cuckoo search algorithm for spectrum allocation in cognitive vehicular network
Ruining Zhang et al.
PHYSICAL COMMUNICATION (2019)
The study and application of a novel hybrid system for air quality early-warning
Yan Hao et al.
APPLIED SOFT COMPUTING (2019)
A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting
Wendong Yang et al.
APPLIED ENERGY (2019)
A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
Yan Hao et al.
APPLIED ENERGY (2019)
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
Xinsong Niu et al.
APPLIED ENERGY (2019)
A novel hybrid model for short-term wind power forecasting
Pei Du et al.
APPLIED SOFT COMPUTING (2019)
Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China
Wendong Yang et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Container throughput forecasting using a novel hybrid learning method with error correction strategy
Pei Du et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems
Qingguo Zhou et al.
APPLIED ENERGY (2019)
Variable weights combined model based on multi-objective optimization for short-term wind speed forecasting
Ping Jiang et al.
APPLIED SOFT COMPUTING (2019)
A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting
Yagang Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
Guo-Feng Fan et al.
APPLIED ENERGY (2018)
A novel multi-objective bacteria foraging optimization algorithm(MOBFOA) for multi-objective scheduling
Mandeep Kaur et al.
APPLIED SOFT COMPUTING (2018)
A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting
Jiyang Wang et al.
ENERGIES (2018)
Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system
Jianzhou Wang et al.
ENERGY (2018)
Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed
Tong Niu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Research and application of a combined model based on variable weight for short term wind speed forecasting
Hongmin Li et al.
RENEWABLE ENERGY (2018)
Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy
Tong Niu et al.
RENEWABLE ENERGY (2018)
Multi-step ahead forecasting in electrical power system using a hybrid forecasting system
Pei Du et al.
RENEWABLE ENERGY (2018)
A wind speed interval prediction system based on multi-objective optimization for machine learning method
Ranran Li et al.
APPLIED ENERGY (2018)
Optimum design of tuned mass dampers using multi-objective cuckoo search for buildings under seismic excitations
Sadegh Etedali et al.
ALEXANDRIA ENGINEERING JOURNAL (2018)
Research and application of a combined model based on multi objective optimization for multi-step ahead wind speed forecasting
Jianzhou Wang et al.
ENERGY (2017)
Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting
Pei Du et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction
Wentao Ma et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting
Wendong Yang et al.
ENTROPY (2017)
Fractional order PID control design for semi-active control of smart base isolated structures: A multi-objective cuckoo search approach
Abbas-Ali Zamani et al.
ISA TRANSACTIONS (2017)
Air quality early-warning system for cities in China
Yunzhen Xu et al.
ATMOSPHERIC ENVIRONMENT (2017)
A novel hybrid system based on a new proposed algorithm-Multi-Objective Whale Optimization Algorithm for wind speed forecasting
Jianzhou Wang et al.
APPLIED ENERGY (2017)
A generalized dynamic fuzzy neural network based on singular spectrum analysis optimized by brain storm optimization for short-term wind speed forecasting
Xuejiao Ma et al.
APPLIED SOFT COMPUTING (2017)
Short-term wind speed forecasting by spectral analysis from long-term observations with missing values
Huseyin Akcay et al.
APPLIED ENERGY (2017)
Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting
Liye Xiao et al.
APPLIED ENERGY (2016)
Short-term probabilistic forecasting of wind speed using stochastic differential equations
Emil B. Iversen et al.
INTERNATIONAL JOURNAL OF FORECASTING (2016)
A hybrid technique for short-term wind speed prediction
Jianming Hu et al.
ENERGY (2015)
Short-term wind power prediction based on LSSVM-GSA model
Xiaohui Yuan et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
Youngmin Seo et al.
JOURNAL OF HYDROLOGY (2015)
An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system
Hui Liu et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2015)
Combined forecasting models for wind energy forecasting: A case study in China
Ling Xiao et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
Jianzhou Wang et al.
RENEWABLE ENERGY (2015)
Current status and future advances for wind speed and power forecasting
Jaesung Jung et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Volterra filter modeling of nonlinear discrete-time system using improved particle swarm optimization
Wei-Der Chang
DIGITAL SIGNAL PROCESSING (2012)
Determination of corrosion types from electrochemical noise by phase space reconstruction theory
Dahai Xia et al.
ELECTROCHEMISTRY COMMUNICATIONS (2012)
A novel adaptive bilinear filter based on pipelined architecture
Jiashu Zhang et al.
DIGITAL SIGNAL PROCESSING (2010)
A new local linear prediction model for chaotic time series
Qingfang Meng et al.
PHYSICS LETTERS A (2007)
Self-generation RBFNs using evolutional PSO learning
Hsuan-Ming Feng
NEUROCOMPUTING (2006)
Chaotic time series prediction with a global model: Artificial neural network
Dulakshi S. K. Karunasinghe et al.
JOURNAL OF HYDROLOGY (2006)
Forecast of hourly average wind speed with ARMA models in Navarre (Spain)
JL Torres et al.
SOLAR ENERGY (2005)
Performance analysis of Volterra-based nonlinear adaptive blind multiuser detectors for DS-CDMA systems
LL Guo et al.
SIGNAL PROCESSING (2004)