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中南大学 [18]

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	Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network 期刊论文 Energy Conversion and Management, 2018, 卷号: 166, 页码: 120-131 作者: Liu, Hui*; Mi, Xiwei; Li, Yanfei 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/03 Wind speed prediction model Wavelet packet decomposition Convolutional neural network Convolutional long short term memory network Deep learning
	Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction 期刊论文 Energy Conversion and Management, 2018, 卷号: 167, 页码: 203-219 作者: Li, Yanfei; Wu, Haiping; Liu, Hui* 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/03 Wind speed forecasting Hybrid model Empirical wavelet transform Long short term memory network Regularized extreme learning machine Inverse empirical wavelet transform
	An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm 期刊论文 Renewable Energy, 2018, 卷号: 123, 页码: 694-705 作者: Liu, Hui; Mi, Xiwei; Li, Yanfei* 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/03 Wind speed predictions Wind speed decomposing performance Wavelet packet decomposition Empirical mode decomposition Extreme learning machine
	Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm 期刊论文 Energy Conversion and Management, 2018, 卷号: 156, 页码: 525-541 作者: Liu, Hui; Duan, Zhu; Han, Feng-ze; Li, Yan-fei* 收藏 \| 浏览/下载：38/0 \| 提交时间：2019/12/03 NWP numerical weather prediction CS Cuckoo search FS fuzzy system WRF weather research and forecasting KF Kalman filter ARIMA auto-regressive integrated moving average ARCH autoregressive conditional heteroskedasticity ANN artificial neural networks SVM support vector machine CRO Coral Reefs optimization algorithm ELM extreme learning machine MFNN multi-layer feed-forward neural network SPSA simultaneous perturbation stochastic approximation HM Hammerstein Model AR auto-regressive AdaBoost adaptive boosting MLP multilayer perceptron DNN-MRT deep neural network based meta regression and transfer learning WD wavelet decomposition FEEMD fast ensemble empirical mode decomposition EMD empirical mode decomposition WPD wavelet packet decomposition SSA singular spectrum analysis BFGS Broyden–Fletcher–Goldfarb–Shanno Quasi-Newton Back Propagation LSSVM least square support vector machine PSOGSA partial swarm optimization combined with gravitational search algorithm FCM fuzzy C-means EEMD ensemble empirical mode decomposition SampEn sample entropy VMD variational mode decomposition MAdaBoost Modified AdaBoost.RT WF wavelet filter MAE mean absolute error MAPE mean absolute percentage error RMSE root mean squared error CWT continuous wavelet transform DWT discrete wavelet transform LMD local mean decomposition ADMM alternate direction method of multipliers Big multi-step wind speed forecasting Wavelet decomposition Variational mode decomposition Sample entropy Modified adaBoost.RT Wavelet filter
	Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks 期刊论文 Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200 作者: Liu, Hui; Mi, Xiwei; Li, Yanfei* 收藏 \| 浏览/下载：41/0 \| 提交时间：2019/12/03 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 Bat Algorithm BP Back-propagation Neural Network CEEMDAN Complete Ensemble Empirical Mode Decomposition CG Conjugate Gradient CLSFPA Flower Pollination Algorithm with Chaotic Local Search CNN Convolutional Neural Network CS Compressive Sensing CSA Cuckoo Search Algorithm EEMD Ensemble Empirical Mode Decomposition ESM Exponential Smoothing Method FA Firefly Algorithm FAC First-order Adaptive Coefficient GA Genetic Algorithm GRNN General Regression Neural Network HBSA Hybrid Backtracking Search Algorithm HWM Holt-Winters Model IMFs Intrinsic Mode Functions IS Input parameter Selection KF Kalman filter LSSVM Least Square Support Vector Machine MAE Mean Absolute Error MAPE Mean Absolute Percentage Error MLP Multilayer Perceptron Neural Network MOBA Multi Objective Bat Algorithm NNCT No Negative Constraint Theory NSGA Non-dominated Sorting Genetic Algorithm OVMD Optimized Variational Mode Decomposition PSO Particle Swam Optimization PSOSA Particle Swarm Optimization based on Simulated Annealing PSR Phase Space Reconstruction RBF Radial Basis Function Neural Network RMSE Root Mean Square Error SAC Second-order Adaptive Coefficient SAM Seasonal Adjustment Method SDA Secondary Decomposition Algorithm SEA Seasonal Exponential Adjustment SOM Self-Organizing feature Maps SSA Singular Spectrum Analysis SVR Support Vector Regression VMD Variational Mode Decomposition v-SVM v-Support Vector Machine WD Wavelet Decomposition WPD Wavelet Packet Decomposition
	Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM 期刊论文 Energy Conversion and Management, 2018, 卷号: 159, 页码: 54-64 作者: Liu, Hui*; Mi, Xiwei; Li, Yanfei 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/03 Wind speed forecasting Variational mode decomposition Singular spectrum analysis Deep learning Long short term memory network Extreme learning machine
	Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction 期刊论文 Energy Conversion and Management, 2018, 卷号: 161, 页码: 266-283 作者: Liu, Hui*; Wu, Haiping; Li, Yanfei 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/03 Wind speed forecasting Hybrid model Empirical wavelet transform Regularized extreme learning machine Grey wolf optimizer Inverse empirical wavelet transform
	Takagi-Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting 期刊论文 IET Renewable Power Generation, 2017, 卷号: 11, 期号: 10, 页码: 1281-1287 作者: Liu, Fang; Li, Ranran; Li, Yong*; Yan, Ruifeng; Saha, Tapan 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/03 photovoltaic power systems load forecasting least mean squares methods recursive estimation support vector machines backpropagation recurrent neural nets fuzzy reasoning power engineering computing Takagi-Sugeno fuzzy model-based approach multiple-weather factors photovoltaic power short-term forecasting PV systems electricity supply PV power forecasting air temperature humidity wind speed wind direction insolation T-S fuzzy model correlation analysis fuzzy c-mean clustering algorithm recursive least square method St Lucia campus The Queensland University of Australia support vector machine SVM empirical mode decomposition back propagation neural network recurrent neural network power 433 kW
	Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm 期刊论文 Energy Conversion and Management, 2017, 卷号: 151, 页码: 709-722 作者: Mi, Xi-wei; Liu, Hui*; Li, Yan-fei 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/03 Wind speed forecasting Wavelet packet decomposition Empirical mode decomposition Auto regressive moving average model Extreme learning machine Outlier correction method
	An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system 期刊论文 Journal of Wind Engineering and Industrial Aerodynamics, 2015, 卷号: 141, 页码: 27-38 作者: Liu, Hui*; Tian, Hong-qi; Li, Yan-fei 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/03 Qinghai-Tibet railway Strong wind Wind speed forecasting Wind speed prediction Warning system Empirical Mode Decomposition Recursive ARIMA Neural networks

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