Hourly Day-Ahead Wind Power Prediction Using the Hybrid Model of Variational Model Decomposition and Long Short-Term Memory

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 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

Day-ahead unit commitment method considering time sequence feature of wind power forecast error

(2018) Chengfu Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Research and application of a combined model based on variable weight for short term wind speed forecasting

(2018) Hongmin Li et al.   RENEWABLE ENERGY

Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

(2018) Tong Niu et al.   RENEWABLE ENERGY

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

(2018) Shikhar Srivastava et al.   SOLAR ENERGY

A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network

(2018) Jianzhong Zhou et al.   Energies

Copulas-based risk analysis for inter-seasonal combinations of wet and dry conditions under a changing climate

(2018) Wei Fang et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models

(2018) Wei Fang et al.   JOURNAL OF HYDROLOGY

Identification of the Non-stationarity of Floods: Changing Patterns, Causes, and Implications

(2018) Saiyan Liu et al.   WATER RESOURCES MANAGEMENT

Wind power prediction using hybrid autoregressive fractionally integrated moving average and least square support vector machine

(2017) Xiaohui Yuan et al.   ENERGY

Multi-objective energy management of a micro-grid considering uncertainty in wind power forecasting

(2017) Javad Sarshar et al.   ENERGY

An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed

(2016) Jing Zhao et al.   APPLIED ENERGY

Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods

(2016) Yachao Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

A new intelligent method based on combination of VMD and ELM for short term wind power forecasting

(2016) Ali Akbar Abdoos   NEUROCOMPUTING

Stochastic hydro-thermal scheduling optimization: An overview

(2016) Anderson Rodrigo de Queiroz   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models

(2016) Jianzhou Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on the recent history of wind power ramp forecasting

(2015) Cristobal Gallego-Castillo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

A review of combined approaches for prediction of short-term wind speed and power

(2014) A. Tascikaraoglu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model

(2011) Zhenhai Guo et al.   RENEWABLE ENERGY