Hybrid model with secondary decomposition, randomforest algorithm, clustering analysis and long short memory network principal computing for short-term wind power forecasting on multiple scales

Wind power forecasting using attention-based gated recurrent unit network

(2020) Zhewen Niu et al.   ENERGY

Forecasting energy consumption and wind power generation using deep echo state network

(2020) Huanling Hu et al.   RENEWABLE ENERGY

Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions

(2020) Zhong-kai Feng et al.   KNOWLEDGE-BASED SYSTEMS

A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting

(2019) Zhuochun Wu et al.   APPLIED ENERGY

A combined forecasting model for time series: Application to short-term wind speed forecasting

(2019) Zhenkun Liu et al.   APPLIED ENERGY

Long short-term memory recurrent neural network for modeling temporal patterns in long-term power forecasting for solar PV facilities: Case study of South Korea

(2019) Yoonhwa Jung et al.   JOURNAL OF CLEANER PRODUCTION

Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting

(2019) Zhuochun Wu et al.   APPLIED ENERGY

An adaptive hybrid model for short term wind speed forecasting

(2019) Jinliang Zhang et al.   ENERGY

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Hybrid model for renewable energy and loads prediction based on data mining and variational mode decomposition

(2018) Chunxia Dou et al.   IET Generation Transmission & Distribution

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

Short-term wind speed forecasting using a hybrid model

(2017) Ping Jiang et al.   ENERGY

Research and application of a novel hybrid forecasting system based on multi-objective optimization for wind speed forecasting

(2017) Pei Du 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

Short-term wind speed and wind power prediction using hybrid empirical mode decomposition and kernel ridge regression

(2017) Jyotirmayee Naik et al.   APPLIED SOFT COMPUTING

ARIMA-based decoupled time series forecasting of electric vehicle charging demand for stochastic power system operation

(2016) M. Hadi Amini et al.   ELECTRIC POWER SYSTEMS RESEARCH

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

(2016) Anbo Meng et al.   ENERGY CONVERSION AND MANAGEMENT

Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods

(2015) Jie Zhang et al.   APPLIED ENERGY

A case study on a hybrid wind speed forecasting method using BP neural network

(2011) Zhen-hai Guo et al.   KNOWLEDGE-BASED SYSTEMS

ARMA based approaches for forecasting the tuple of wind speed and direction

(2010) Ergin Erdem et al.   APPLIED ENERGY

ARIMA-Based Time Series Model of Stochastic Wind Power Generation

(2009) Peiyuan Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Day-ahead wind speed forecasting using f-ARIMA models

(2008) Rajesh G. Kavasseri et al.   RENEWABLE ENERGY