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

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

A Salp-Swarm Optimization based MPPT technique for harvesting maximum energy from PV systems under partial shading conditions

(2020) Adeel Feroz Mirza et al.   ENERGY CONVERSION AND MANAGEMENT

Coupling electrodialysis desalination with photovoltaic and wind energy systems for energy storage: Dynamic simulations and control strategy

(2020) Antonino Campione 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

Wind source potential assessment using Sentinel 1 satellite and a new forecasting model based on machine learning: A case study Sardinia islands

(2020) M. Majidi Nezhad et al.   RENEWABLE ENERGY

Short-term wind speed prediction using time varying filter-based empirical mode decomposition and group method of data handling-based hybrid model

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

Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system

(2020) Hrvoje Dorotić et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Solar photovoltaic parameter estimation using an improved equilibrium optimizer

(2020) Mohamed Abdel-Basset et al.   SOLAR ENERGY

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

Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history

(2020) Yaoran Chen 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

Gaussian mixture model coupled recurrent neural networks for wind speed interval forecast

(2019) Shuang Zhu 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

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization

(2018) Jie Chen 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

A review on recent advancements of substructures for offshore wind turbines

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

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

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

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

(2018) Hui Liu 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

Optimal sizing of energy storage system and its cost-benefit analysis for power grid planning with intermittent wind generation

(2018) Shiwei Xia et al.   RENEWABLE ENERGY

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

Globalization in the wind energy industry: contribution and economic impact of European companies

(2018) Roberto Lacal-Arántegui   RENEWABLE ENERGY

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

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

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-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

(2017) Tian Peng et al.   ENERGY CONVERSION AND MANAGEMENT

An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network

(2017) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation

(2017) Ali Wagdy Mohamed et al.   SOFT COMPUTING

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

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

Design of optimal wind farm configuration using a binary particle swarm optimization at Huasai district, Southern Thailand

(2016) Sittichoke Pookpunt et al.   ENERGY CONVERSION AND MANAGEMENT

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

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

Estimation of turbulence intensity using rotor effective wind speed in Lillgrund and Horns Rev-I offshore wind farms

(2016) Tuhfe Göçmen et al.   RENEWABLE ENERGY

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

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

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

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

Wind speed forecast correction models using polynomial neural networks

(2015) Ladislav Zjavka   RENEWABLE ENERGY

Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization – Extreme learning machine approach

(2014) S. Salcedo-Sanz et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis of 50-year wind data of the southern Baltic Sea for modelling coastal morphological evolution – a case study from the Darss-Zingst Peninsula

(2011) Wenyan Zhang et al.   OCEANOLOGIA

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

(2010) Ergin Erdem et al.   APPLIED ENERGY

Implementing the Nelder-Mead simplex algorithm with adaptive parameters

(2010) Fuchang Gao et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

A hybrid PSO–ANFIS approach for short-term wind power prediction in Portugal

(2010) H.M.I. Pousinho et al.   ENERGY CONVERSION AND MANAGEMENT