Offshore wind speed short-term forecasting based on a hybrid method: Swarm decomposition and meta-extreme learning machine

Using optimal choice of parameters for meta-extreme learning machine method in wind energy application

(2021) Emrah Dokur et al.   COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

(2021) Mehdi Neshat et al.   ENERGY CONVERSION AND MANAGEMENT

Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS

(2021) Muhammet Deveci et al.   APPLIED SOFT COMPUTING

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

(2021) Xiaolei Liu et al.   ENERGY

Type-2 neutrosophic number based multi-attributive border approximation area comparison (MABAC) approach for offshore wind farm site selection in USA

(2021) Muhammet Deveci et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of IGBT junction temperature using improved cuckoo search-based extreme learning machine

(2021) Boying Liu et al.   MICROELECTRONICS RELIABILITY

A review of wind speed and wind power forecasting with deep neural networks

(2021) Yun Wang et al.   APPLIED ENERGY

Extreme learning machine based meta-heuristic algorithms for parameter extraction of solid oxide fuel cells

(2021) Bo Yang et al.   APPLIED ENERGY

Offshore wind speed forecasting at different heights by using ensemble empirical mode decomposition and deep learning models

(2021) Bharat Kumar Saxena et al.   APPLIED OCEAN RESEARCH

Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks

(2021) Dan Li 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

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

(2021) Rana Muhammad Adnan et al.   KNOWLEDGE-BASED SYSTEMS

Two-Step Wind Power Prediction Approach With Improved Complementary Ensemble Empirical Mode Decomposition and Reinforcement Learning

(2021) Huifeng Zhang et al.   IEEE Systems Journal

Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland

(2020) Muhammet Deveci et al.   ENERGY

A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting

(2020) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

Future prospects research on offshore wind power scale in China based on signal decomposition and extreme learning machine optimized by principal component analysis

(2020) Dunnan Liu et al.   Energy Science & Engineering

Real-time stochastic power management strategies in hybrid renewable energy systems: A review of key applications and perspectives

(2020) Dana-Alexandra Ciupageanu et al.   ELECTRIC POWER SYSTEMS RESEARCH

A self-organizing forecast of day-ahead wind speed: Selective ensemble strategy based on numerical weather predictions

(2020) Jing Zhao et al.   ENERGY

Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM

(2019) Wenlong Fu et al.   ENERGY CONVERSION AND MANAGEMENT

An Integrated Approach Based on Swarm Decomposition, Morphology Envelope Dispersion Entropy, and Random Forest for Multi-Fault Recognition of Rolling Bearing

(2019) Shuting Wan et al.   Entropy

Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal

(2019) Yonghao Miao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Wind energy integration: Variability analysis and power system impact assessment

(2019) Dana-Alexandra Ciupăgeanu et al.   ENERGY

Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network

(2018) Wei Sun et al.   ENERGY CONVERSION AND MANAGEMENT

Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks

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

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

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

A meta extreme learning machine method for forecasting financial time series

(2018) César Fernández et al.   APPLIED INTELLIGENCE

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

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

Swarm decomposition: A novel signal analysis using swarm intelligence

(2017) Georgios K. Apostolidis et al.   SIGNAL PROCESSING

Forecasting volatility of wind power production

(2016) Zhiwei Shen et al.   APPLIED ENERGY

ARIMA-Based Frequency-Decomposed Modeling of Wind Speed Time Series

(2016) Kalid Yunus et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition

(2016) Dennis C. Kiplangat et al.   RENEWABLE ENERGY

Wind turbine power curve modelling using artificial neural network

(2016) Francis Pelletier et al.   RENEWABLE ENERGY

Meta-ELM: ELM with ELM hidden nodes

(2013) Shizhong Liao et al.   NEUROCOMPUTING

GPU-accelerated and parallelized ELM ensembles for large-scale regression

(2011) Mark van Heeswijk et al.   NEUROCOMPUTING

Performance evaluation and accuracy enhancement of a day-ahead wind power forecasting system in China

(2011) Pan Zhao et al.   RENEWABLE ENERGY