Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization

Modes decomposition forecasting approach for ultra-short-term wind speed

(2021) Zhongda Tian   APPLIED SOFT COMPUTING

Ultra-short-term wind speed forecasting using an optimized artificial intelligence algorithm

(2021) Jianwang et al.   RENEWABLE ENERGY

Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM

(2021) Xiaolei Liu et al.   ENERGY

A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers

(2021) Tao Liang et al.   ENERGY

Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model

(2021) Hooman Khaloie et al.   ENERGY

Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power

(2021) Ling-Ling Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel hybrid model based on nonlinear weighted combination for short-term wind power forecasting

(2021) Jiandong Duan et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A hybrid model based on data preprocessing strategy and error correction system for wind speed forecasting

(2020) Ying Deng et al.   ENERGY CONVERSION AND MANAGEMENT

A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets

(2020) Gholamreza Memarzadeh et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

A new compound wind speed forecasting structure combining multi-kernel LSSVM with two-stage decomposition technique

(2020) Sizhou Sun et al.   SOFT COMPUTING

Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network

(2020) Ying-Yi Hong et al.   ENERGY

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

(2020) Oveis Abedinia et al.   IEEE Transactions on Sustainable Energy

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

(2020) Ramon Gomes da Silva et al.   ENERGY

A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19

(2020) Hongfang Lu et al.   ENERGY

Risk-constrained self-scheduling of a hybrid power plant considering interval-based intraday demand response exchange market prices

(2020) Hooman Khaloie et al.   JOURNAL OF CLEANER PRODUCTION

Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

Optimal Behavior of a Hybrid Power Producer in Day-Ahead and Intraday Markets: A Bi-Objective CVaR-Based Approach

(2020) Hooman Khaloie et al.   IEEE Transactions on Sustainable Energy

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system

(2019) Han Wang et al.   APPLIED ENERGY

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

An innovative hybrid system for wind speed forecasting based on fuzzy preprocessing scheme and multi-objective optimization

(2019) Chen Li et al.   ENERGY

Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting

(2019) Ping Jiang et al.   ENERGY

A novel non-linear combination system for short-term wind speed forecast

(2019) Jianzhou Wang et al.   RENEWABLE ENERGY

A Novel Hybrid System Based on Multi-objective Optimization for Wind Speed Forecasting

(2019) Chunying Wu et al.   RENEWABLE ENERGY

Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting

(2019) Gabriel Trierweiler Ribeiro et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Hybrid forecasting system based on an optimal model selection strategy for different wind speed forecasting problems

(2019) Qingguo Zhou et al.   APPLIED ENERGY

Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model

(2019) Hooman Khaloie et al.   APPLIED ENERGY

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm

(2019) Zhaoshuang He et al.   APPLIED MATHEMATICAL MODELLING

Ultra-short term wind prediction with wavelet transform, deep belief network and ensemble learning

(2019) He Jiajun et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting the High Penetration of Wind Power on Multiple Scales Using Multi-to-Multi Mapping

(2018) Jie Yan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

Research and application of a combined model based on variable weight for short term wind speed forecasting

(2018) Hongmin Li et al.   RENEWABLE ENERGY

Improved near surface wind speed predictions using Gaussian process regression combined with numerical weather predictions and observed meteorological data

(2018) Victoria Hoolohan et al.   RENEWABLE ENERGY

An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

(2018) Hui Liu et al.   RENEWABLE ENERGY

A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL

(2018) Yanhua Chen et al.   ENERGY CONVERSION AND MANAGEMENT

A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine

(2018) Dan Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed and wind direction forecasting using echo state network with nonlinear functions

(2018) Mohammad Amin Chitsazan et al.   RENEWABLE ENERGY

Robust functional regression for wind speed forecasting based on Sparse Bayesian learning

(2018) Yun Wang et al.   RENEWABLE ENERGY

A novel system based on neural networks with linear combination framework for wind speed forecasting

(2018) Jianzhou Wang et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

(2018) Ping Jiang et al.   APPLIED ENERGY

Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

(2018) Zongxi Qu et al.   RENEWABLE ENERGY

Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

(2018) Yanfei Li et al.   RENEWABLE ENERGY

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

(2017) Chu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

(2016) Seyedali Mirjalili et al.   EXPERT SYSTEMS WITH APPLICATIONS

Incremental regularized extreme learning machine and it׳s enhancement

(2016) Zhixin Xu et al.   NEUROCOMPUTING

Wind speed forecast correction models using polynomial neural networks

(2015) Ladislav Zjavka   RENEWABLE ENERGY

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach

(2013) Kuilin Chen et al.   APPLIED ENERGY

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics