Keywords: پیش بینی سرعت باد; Robustness; Sparsity; Functional regression; Variational Bayesian; Wind speed forecasting;
مقالات ISI پیش بینی سرعت باد (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Combined model; Artificial fish swarm algorithm; Ant colony optimization;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Wavelet packet decomposition (WPD); Gradient boosted regression trees (GBRT); Density-based spatial clustering of applications with noise (DBSCAN); Elman neural network (ENN);
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Wavelet packet decomposition; Complete Ensemble Empirical Mode Decomposition with Adaptive Noise; Artificial Neural Network; ANN; Artificial Neural Network; AR; Auto Regressive; ARIMA; Auto Regressive Integrated Moving Average; BA;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Variational mode decomposition; Gravitational search algorithm; Extreme learning machine; Gram-Schmidt orthogonal; Synchronous optimisation;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Deep learning; Time series prediction; LSTMs (Long Short Term Memory neural networks); Ensemble learning; Extremal optimization;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Combined model; Data preprocessing technique; Advanced optimization algorithm;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Hybrid forecasting system; Modified data decomposition approach; Multi-objective sine cosine algorithm; Forecasting accuracy and stability; AR; auto-regressive; ARMA; auto-regressive moving average; ARIMA; autoregressive integrated
Keywords: پیش بینی سرعت باد; WRF; weather research and forecast; HRM; high resolution model; COSMO; consortium for small scale modeling; MM5; mesoscale model 5; NWP; numerical weather prediction; ARIMA; autoregressive integrated moving average; S-T Model; spatio-temporal model; FIS;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Complementary ensemble empirical mode; Modified wind driven optimization; Broyden family; Hybrid model;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Optimization algorithm; Multi-step ahead forecasting; Combined model; Weight coefficient optimization;
Keywords: پیش بینی سرعت باد; Wind energy; Wind speed forecasting; Time-series; Auto-regressive moving average; Kalman filter; Spectrum estimation; Missing data;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Core vector machine; Phase space reconstruction; Kernel principal component analysis; Competition over resource algorithm;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Wavelet packet decomposition; Empirical mode decomposition; Auto regressive moving average model; Extreme learning machine; Outlier correction method;
Keywords: پیش بینی سرعت باد; Isolated grid; Wind speed forecasting; Rolling horizon; ARIMA model; Monte Carlo simulation; Storage;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Hybrid algorithm; Non-parametric modeling; Autoregressive moving average;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Composite quantile regression outlier-robust extreme learning machine; Feature selection; Hybrid particle swarm algorithm; Time adaptive filter based empirical mode decomposition;
Keywords: پیش بینی سرعت باد; Grey correlation analysis; v-SVM; Cuckoo search algorithm; Wind speed forecasting; Accuracy tests;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Multi-Objective Whale Optimization Algorithm; Hybrid forecasting system; Forecasting accuracy and stability;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Multi-objective ant lion optimization algorithm; Hybrid forecasting system; Forecasting accuracy and stability;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Multi-objective bat algorithm; Multi-step ahead forecasting; Combined model; Forecasting accuracy and stability;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Time series decomposition; Auto-regressive models; Fractional-ARIMA models
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Adaptive wavelet neural network; Multi-resolution analysis;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; General regression neural network; Cross-validation; Fibonacci search method; Leave-one-day-out resampling; Forecast correction;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Phase space reconstruction; Support vector regression; Genetic algorithms; Non-linear analysis;
Keywords: پیش بینی سرعت باد; Ensemble method; Wind speed forecasting; Wind power forecasting; Solar irradiance forecasting;
Keywords: پیش بینی سرعت باد; Gaussian process regression model; Wind speed forecasting; Empirical wavelet transforms (EWT);
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Outlier detection; Support vector regression; Elman recurrent neural network; Hybrid model;
Keywords: پیش بینی سرعت باد; Phase space reconstruction; Least squares support vector machine; FCM (fuzzy C-means) model; Markov model; Wind speed forecasting
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Review; Combined approach; No negative constraint theory; Artificial intelligence algorithm;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; SVM; GA; Wavelet transform; Input selection;
Keywords: پیش بینی سرعت باد; Wind speed forecasting; ARIMA; Kalman filter; Parameter optimization; Intelligent optimization;
Keywords: پیش بینی سرعت باد; Wind farm; Wind speed forecasting; Ensemble Empirical Mode Decomposition (EEMD); Support Vector Machine (SVM);
Keywords: پیش بینی سرعت باد; Renewable wind power; Wind speed forecasting; Gaussian mixture copula model; Gaussian process regression; Random uncertainty; Non-stationary seasonality;
Keywords: پیش بینی سرعت باد; NWP; Numerical Weather Prediction; KF; Kalman Filter; PSO; Particle Swarm Optimization; ARIMA; Autoregressive Integrated Moving Average Model; VAR; Vector Autoregression Model; ANN; Artificial Neural Networks; GARCH; Generalized Autoregressive Conditional
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Variational mode decomposition; Singular spectrum analysis; Deep learning; Long short term memory network; Extreme learning machine;
An improved combination approach based on Adaboost algorithm for wind speed time series forecasting
Keywords: پیش بینی سرعت باد; Combination approach; Time-varying; Weight determined; Wind speed forecasting;
Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Hybrid model; Empirical wavelet transform; Long short term memory network; Regularized extreme learning machine; Inverse empirical wavelet transform;
Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Hybrid model; Empirical wavelet transform; Regularized extreme learning machine; Grey wolf optimizer; Inverse empirical wavelet transform;
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Long short term memory neural network; Hysteretic extreme learning machine; Nonlinear combined mechanism; Differential Evolution;
Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Extreme learning machine; Complementary ensemble empirical mode decomposition with adaptive noise; Variational mode decomposition; AdaBoost.RT;
A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Extreme learning machine; Backtracking search algorithm; Variational mode decomposition; Feature selection; Parameter optimization;
A hybrid approach based on the Gaussian process with t-observation model for short-term wind speed forecasts
Keywords: پیش بینی سرعت باد; Gaussian process regression with the Student-t observation model; Expectation propagation (EP) algorithm; Wind speed forecasting;
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Keywords: پیش بینی سرعت باد; EMD; EEMD; GA; BP neural network; Wind speed forecasting;
BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Solar radiation forecasting; Small autonomous hybrid power system; Optimization; Wind energy conversion system; Solar PV system;
Daily wind speed forecasting through hybrid KF-ANN model based on ARIMA
Keywords: پیش بینی سرعت باد; Wind speed forecasting; Forecasting accuracy; Hybrid KF-ANN; ARIMA; Kalman filter; ANN;
Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions
Keywords: پیش بینی سرعت باد; WDF; Weibull Distribution Function; WD; Wavelet Decomposition; WPD; Wavelet Packet Decomposition; EEMD; Ensemble Empirical Mode Decomposition; FEEMD; Fast Ensemble Empirical Mode Decomposition; SAM; Seasonal Adjustment Method; ESM; Exponential Smoothing M
An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system
Keywords: پیش بینی سرعت باد; Qinghai–Tibet railway; Strong wind; Wind speed forecasting; Wind speed prediction; Warning system; Empirical Mode Decomposition; Recursive ARIMA; Neural networks
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions
Keywords: پیش بینی سرعت باد; AA; Apriori Algorithm; RBF; Radial Basis Functions; SVR; Support Vector Regression; WDF; Weibull Distribution Function; MSM; Markov Switching Model; BI; Bayesian Interface; PM; Persistent Model; AR; Auto Regressive; ANN; artificial neural networks; BSBM;
A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts usi
Keywords: پیش بینی سرعت باد; Gaussian Process Regression; Wind speed forecasting; Empirical Wavelet Transform; Extreme Learning Machine; Support Vector Machine