Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach

Wind ENERGY in Russia: The current state and development trends

(2021) Artem Kudelin et al.   Energy Strategy Reviews

An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting

(2021) Tian Peng et al.   ENERGY

A multi-stage predicting methodology based on data decomposition and error correction for ultra-short-term wind energy prediction

(2021) Yagang Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm

(2021) Zhenkun Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection

(2021) Lifang Zhang et al.   APPLIED ENERGY

Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach

(2021) Cem Emeksiz et al.   ENERGY

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 hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Hui Liu et al.   ENERGY

Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction

(2020) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting

(2020) Tian Peng et al.   RENEWABLE ENERGY

Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method

(2020) Ling Xiang et al.   ENERGY CONVERSION AND MANAGEMENT

Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition

(2020) Xiaoan Yan et al.   ENERGY CONVERSION AND MANAGEMENT

Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting

(2020) Guowei Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Assessing the wind energy potential of China in considering its variability/intermittency

(2020) Yang Gao et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step wind speed prediction by combining a WRF simulation and an error correction strategy

(2020) Weifeng Xu et al.   RENEWABLE ENERGY

A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting

(2020) Ping Jiang et al.   ENERGY

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

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

(2020) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A hybrid neural network model for short-term wind speed forecasting based on decomposition, multi-learner ensemble, and adaptive multiple error corrections

(2020) Hui Liu et al.   RENEWABLE 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

Data-driven wind speed forecasting using deep feature extraction and LSTM

(2019) Yu-Xi Wu et al.   IET Renewable Power Generation

A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting

(2019) Min Ding et al.   NEUROCOMPUTING

High resolution wind speed forecasting based on wavelet decomposed phase space reconstruction and self-organizing map

(2019) Rui Hu et al.   RENEWABLE ENERGY

Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine

(2019) Madasthu Santhosh et al.   Sustainable Energy Grids & Networks

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

(2019) Hui Liu et al.   APPLIED ENERGY

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

An adaptive hybrid model for short term wind speed forecasting

(2019) Jinliang Zhang et al.   ENERGY

Application of hybrid model based on double decomposition, error correction and deep learning in short-term wind speed prediction

(2019) Zherui Ma et al.   ENERGY CONVERSION AND MANAGEMENT

Selecting optimal lag order in Ljung–Box test

(2019) Hossein Hassani et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil

(2018) A. Khosravi 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

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

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

Multi-step ahead wind speed prediction based on optimal feature extraction, long short term memory neural network and error correction strategy

(2018) Jujie Wang et al.   APPLIED ENERGY

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

(2018) Yun Wang et al.   RENEWABLE ENERGY

Time series decomposition and predictive analytics using MapReduce framework

(2018) Mininath Bendre et al.   EXPERT SYSTEMS WITH APPLICATIONS

A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting

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

Scaling machine learning for target prediction in drug discovery using Apache Spark

(2017) Dries Harnie et al.   Future Generation Computer Systems-The International Journal of eScience

Outlier-robust extreme learning machine for regression problems

(2015) Kai Zhang et al.   NEUROCOMPUTING

Surface myoelectric signal classification using the AR-GARCH model

(2014) Ghulam Rasool et al.   Biomedical Signal Processing and Control

Empirical Wavelet Transform

(2013) Jerome Gilles   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

(2013) Chao Ren et al.   KNOWLEDGE-BASED SYSTEMS

On the use of cross-validation for time series predictor evaluation

(2012) Christoph Bergmeir et al.   INFORMATION SCIENCES

On comparing three artificial neural networks for wind speed forecasting

(2010) Gong Li et al.   APPLIED ENERGY

ARMA based approaches for forecasting the tuple of wind speed and direction

(2010) Ergin Erdem et al.   APPLIED ENERGY

Statistical Analysis of Wind Power Forecast Error

(2008) H. Bludszuweit et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A review on the forecasting of wind speed and generated power

(2008) Ma Lei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Technical challenges associated with the integration of wind power into power systems

(2006) Pavlos S. Georgilakis   RENEWABLE & SUSTAINABLE ENERGY REVIEWS