Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies

A primary wind farm site assessment using reanalysis data: A case study for Samothraki Island

(2021) M. Majidi Nezhad et al.   RENEWABLE ENERGY

A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement

(2021) M. Majidi Nezhad et al.   RENEWABLE ENERGY

The Arithmetic Optimization Algorithm

(2021) Laith Abualigah et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

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 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

Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction

(2021) Ming-De Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

(2021) K.U. Jaseena et al.   ENERGY CONVERSION AND MANAGEMENT

Wind turbine power output prediction using a new hybrid neuro-evolutionary method

(2021) Mehdi Neshat et al.   ENERGY

2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model

(2021) Yaoran Chen et al.   ENERGY CONVERSION AND MANAGEMENT

A novel decomposition-ensemble prediction model for ultra-short-term wind speed

(2021) Zhongda Tian et al.   ENERGY CONVERSION AND MANAGEMENT

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

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

An improved convolutional neural network with load range discretization for probabilistic load forecasting

(2020) Qian Huang et al.   ENERGY

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

Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network

(2020) Jiandong Duan et al.   ENERGY

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

Multiswarm spiral leader particle swarm optimisation algorithm for PV parameter identification

(2020) H.G.G. Nunes et al.   ENERGY CONVERSION AND MANAGEMENT

Green development challenges within the environmental management framework

(2020) Hrvoje Mikulčić et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

(2019) Xuejun Chen et al.   ENERGY

A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation

(2019) Yan Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting

(2019) Yong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

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

Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

(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 nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm

(2018) Ya-Lan Hu et al.   ENERGY CONVERSION AND MANAGEMENT

Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery

(2018) Lichao Mou et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives

(2017) Takvor Soukissian et al.   Energies

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

Grey wolf optimizer: a review of recent variants and applications

(2017) Hossam Faris et al.   NEURAL COMPUTING & APPLICATIONS

Review of Differential Evolution population size

(2017) Adam P. Piotrowski   Swarm and Evolutionary Computation

Deep belief network based deterministic and probabilistic wind speed forecasting approach

(2016) H.Z. Wang et al.   APPLIED ENERGY

Forecasting volatility of wind power production

(2016) Zhiwei Shen et al.   APPLIED ENERGY

Linear and non-linear autoregressive models for short-term wind speed forecasting

(2016) M. Lydia et al.   ENERGY CONVERSION AND MANAGEMENT

Current status of wind energy forecasting and a hybrid method for hourly predictions

(2016) Inci Okumus et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed parameters sensitivity analysis based on fractals and neuro-fuzzy selection technique

(2016) Vlastimir Nikolić et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

A study of single multiplicative neuron model with nonlinear filters for hourly wind speed prediction

(2015) Xuedong Wu et al.   ENERGY

Probabilistic Short-Term Wind Power Forecasting Using Sparse Bayesian Learning and NWP

(2015) Kaikai Pan et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Grey Wolf Optimizer

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

Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission

(2013) Dalibor Petković et al.   ENERGY

Offshore wind speed and wind power characteristics for ten locations in Aegean and Ionian Seas

(2013) HARALAMBOS S BAGIORGAS et al.   Journal of Earth System Science

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

(2010) Ergin Erdem et al.   APPLIED ENERGY