Related references
Note: Only part of the references are listed.Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization
Zhihao Shang et al.
ENERGY (2022)
An improved residual-based convolutional neural network for very short-term wind power forecasting
Ceyhun Yildiz et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Aytac Altan et al.
APPLIED SOFT COMPUTING (2021)
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
Ping Jiang et al.
ENERGY (2021)
Short-term wind speed forecasting using recurrent neural networks with error correction
Jikai Duan et al.
ENERGY (2021)
Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast
Sinvaldo Rodrigues Moreno et al.
RENEWABLE ENERGY (2021)
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Mehdi Neshat et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks
K. U. Jaseena et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
An Analysis of the Influencing Factors in the Establishment of the Overseas Agricultural Cooperation Zones under the Belt and Road Initiative Based on Logit Model
Huiqing Zheng et al.
JOURNAL OF MATHEMATICS (2021)
Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method
Zhijian Qu et al.
ENERGY (2021)
A combined forecasting model for time series: Application to short-term wind speed forecasting
Zhenkun Liu et al.
APPLIED ENERGY (2020)
A novel combined forecasting system for air pollutants concentration based on fuzzy theory and optimization of aggregation weight
Hufang Yang et al.
APPLIED SOFT COMPUTING (2020)
Attention-based recurrent neural network for multistep-ahead prediction of process performance
Majid Moradi Aliabadi et al.
COMPUTERS & CHEMICAL ENGINEERING (2020)
LSTM based long-term energy consumption prediction with periodicity
Jian Qi Wang et al.
ENERGY (2020)
A combined forecasting system based on modified multi-objective optimization and sub-model selection strategy for short-term wind speed
Qingguo Zhou et al.
APPLIED SOFT COMPUTING (2020)
Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks
Patricia de Oliveira e Lucas et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
Tian Peng et al.
RENEWABLE ENERGY (2020)
Short-term wind speed forecasting based on the Jaya-SVM model
Mingshuai Liu et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition
Xiaoan Yan et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Componentnet: Processing U- and V-components for spatio-Temporal wind speed forecasting
Bruno Quaresma Bastos et al.
ELECTRIC POWER SYSTEMS RESEARCH (2020)
LAVARNET: Neural network modeling of causal variable relationships for multivariate time series forecasting
Christos Koutlis et al.
APPLIED SOFT COMPUTING (2020)
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Azim Heydari et al.
APPLIED ENERGY (2020)
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
Xinsong Niu et al.
APPLIED ENERGY (2019)
Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting
Yong Chen et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
A hybrid deep learning-based neural network for 24-h ahead wind power forecasting
Ying-Yi Hong et al.
APPLIED ENERGY (2019)
Gaussian mixture model coupled recurrent neural networks for wind speed interval forecast
Shuang Zhu et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL
Yanhua Chen et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting
Kequan Zhang et al.
RENEWABLE ENERGY (2019)
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Research and application of a combined model based on variable weight for short term wind speed forecasting
Hongmin Li et al.
RENEWABLE ENERGY (2018)
A novel framework for wind speed prediction based on recurrent neural networks and support vector machine
Chuanjin Yu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
Wenyu Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting
Pei Du et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction
Deyun Wang et al.
RENEWABLE ENERGY (2017)
One day ahead wind speed forecasting: A resampling-based approach
Weigang Zhao et al.
APPLIED ENERGY (2016)
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Shouxiang Wang et al.
RENEWABLE ENERGY (2016)
A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting
Zhongyue Su et al.
ENERGY CONVERSION AND MANAGEMENT (2014)
Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering
P. Louka et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2008)
Forecast of hourly average wind speed with ARMA models in Navarre (Spain)
JL Torres et al.
SOLAR ENERGY (2005)
Wind as an alternative source of energy in Jordan
SM Habali et al.
ENERGY CONVERSION AND MANAGEMENT (2001)
Share Paper
