A Hybrid Deep Learning Model and Comparison for Wind Power Forecasting Considering Temporal-Spatial Feature Extraction

Assessment of stacked unidirectional and bidirectional long short-term memory networks for electricity load forecasting

(2020) Sara Atef et al.   ELECTRIC POWER SYSTEMS RESEARCH

Short-term wind speed forecasting based on the Jaya-SVM model

(2020) Mingshuai Liu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A novel deep learning intelligent clustered hybrid models for wind speed and power forecasting

(2020) Hamed H.H. Aly   ENERGY

Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept

(2019) Mayur Barman et al.   ENERGY

Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM

(2019) Mingming Gao et al.   ENERGY

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Wind Power Short-Term Forecasting Hybrid Model Based on CEEMD-SE Method

(2019) Keke Wang et al.   Processes

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Very short-term wind power density forecasting through artificial neural networks for microgrid control

(2019) Fermín Rodríguez et al.   RENEWABLE ENERGY

A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning

(2019) Gang Wang et al.   RENEWABLE ENERGY

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems

(2018) Hongbing Wang et al.   KNOWLEDGE-BASED SYSTEMS

A hybrid deep learning CNN–ELM for age and gender classification

(2018) Mingxing Duan et al.   NEUROCOMPUTING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression

(2018) Jyotirmayee Naik et al.   RENEWABLE ENERGY

Optimal bidding strategy of wind power producers in pay-as-bid power markets

(2018) Karim Afshar et al.   RENEWABLE ENERGY

A novel spatiotemporal convolutional long short-term neural network for air pollution prediction

(2018) Congcong Wen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China

(2018) Yuansheng Huang et al.   JOURNAL OF CLEANER PRODUCTION

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Short-term wind speed forecasting using a hybrid model

(2017) Ping Jiang et al.   ENERGY

A combined multivariate model for wind power prediction

(2017) Tinghui Ouyang et al.   ENERGY CONVERSION AND MANAGEMENT

Deep Neural Networks for Wind and Solar Energy Prediction

(2017) David Díaz–Vico et al.   NEURAL PROCESSING LETTERS

Offshore wind speed estimates from a high-resolution rapidly updating numerical weather prediction model forecast dataset

(2017) Eric P. James et al.   WIND ENERGY

Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison

(2015) Carlos D. Zuluaga et al.   APPLIED ENERGY

The study and application of a novel hybrid forecasting model – A case study of wind speed forecasting in China

(2015) Jian-Zhou Wang et al.   APPLIED ENERGY

Quantizing the deterministic nonlinearity in wind speed time series

(2014) Haidar Samet et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method

(2009) E. Cadenas et al.   RENEWABLE ENERGY