A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
出版年份 2021 全文链接
标题
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
作者
关键词
Wind speed prediction, Short-term forecasting, Evolutionary algorithms, Generalised normal distribution optimisation, Deep learning models, Hybrid evolutionary deep learning method
出版物
ENERGY CONVERSION AND MANAGEMENT
Volume 236, Issue -, Pages 114002
出版商
Elsevier BV
发表日期
2021-03-31
DOI
10.1016/j.enconman.2021.114002
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- (2020) Wenlong Fu et al. ENERGY CONVERSION AND MANAGEMENT
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- 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
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