Related references
Note: Only part of the references are listed.Ultra short-term probability prediction of wind power based on LSTM network and condition normal distribution
Yonghui Sun et al.
WIND ENERGY (2020)
Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
Ling-Ling Li et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Short-Term Wind Speed Interval Prediction Based on Ensemble GRU Model
Chaoshun Li et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
Xiaohui Yuan et al.
APPLIED SOFT COMPUTING (2019)
Wind speed forecasting based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation
Zhendong Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
An Inter Type-2 FCR Algorithm Based T-S Fuzzy Model for Short-Term Wind Power Interval Prediction
Wen Zou et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Advanced wind power prediction based on data-driven error correction
Jing Yan et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition
Hao Yin et al.
ENERGY (2019)
Wind and solar power probability density prediction via fuzzy information granulation and support vector quantile regression
Yaoyao He et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression
Jyotirmayee Naik et al.
RENEWABLE ENERGY (2019)
Probability density forecasting of wind power using quantile regression neural network and kernel density estimation
Yaoyao He et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
A Novel Multi-Objective Optimal Approach for Wind Power Interval Prediction
Mengyue Hu et al.
ENERGIES (2017)
Short-term wind power combined forecasting based on error forecast correction
Zhengtang Liang et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines
Nitin Anand Shrivastava et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2015)
The impact of sub-hourly modelling in power systems with significant levels of renewable generation
J. P. Deane et al.
APPLIED ENERGY (2014)
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
Hao Quan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)
Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability
Xi-Yuan Ma et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2013)
Prediction Intervals for Short-Term Wind Farm Power Generation Forecasts
Abbas Khosravi et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2013)
Current methods and advances in forecasting of wind power generation
Aoife M. Foley et al.
RENEWABLE ENERGY (2012)
Time-adaptive quantile-copula for wind power probabilistic forecasting
Ricardo J. Bessa et al.
RENEWABLE ENERGY (2012)
An adaptive short-term prediction scheme for wind energy storage management
Ruddy Blonbou et al.
ENERGY CONVERSION AND MANAGEMENT (2011)
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
Abbas Khosravi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
Minimization of imbalance cost trading wind power on the short-term power market
Julija Matevosyan et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2006)