Related references
Note: Only part of the references are listed.Real-time electricity price forecasting of wind farms with deep neural network transfer learning and hybrid datasets
Haolin Yang et al.
APPLIED ENERGY (2021)
Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting
Mousa Afrasiabi et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Inverted Kumarswamy distribution for modeling the wind speed data: Lake Van, Turkey
Kubra Bagci et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Toward the Prediction Level of Situation Awareness for Electric Power Systems Using CNN-LSTM Network
Qi Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A novel hybrid model based on Bernstein polynomial with mixture of Gaussians for wind power forecasting
Yingchao Dong et al.
APPLIED ENERGY (2021)
A blended approach incorporating TVFEMD, PSR, NNCT-based multi-model fusion and hierarchy-based merged optimization algorithm for multi-step wind speed prediction
Dongzhen Xiong et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
A generalized dynamical model for wind speed forecasting
Victor E. L. A. Duca et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Directional wind energy assessment of China based on nonparametric copula models
Qinkai Han et al.
RENEWABLE ENERGY (2021)
Non-stationary statistical modelling of wind speed: A case study in eastern Canada
Taha B. M. J. Ouarda et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Bayesian infinite mixture models for wind speed distribution estimation
Yun Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
Ming-De Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China
Chen Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Hybrid forecasting system based on data area division and deep learning neural network for short-term wind speed forecasting
Zhuoyi Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction
Qiaomu Zhu et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Wind Power Curve Modeling With Asymmetric Error Distribution
Yun Wang et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Wind energy potential and economic analysis with a comparison of different methods for determining the optimal distribution parameters
Muhammad Abid Saeed et al.
RENEWABLE ENERGY (2020)
Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition
Xiaoan Yan et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting
Guowei Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
A new distribution for modeling the wind speed data in Inner Mongolia of China
Junmei Jia et al.
RENEWABLE ENERGY (2020)
Determining suitable region wind speed probability distribution using optimal score-radar map
Shuwei Maio et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Changing wind speed distributions under future global climate
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Kernel density estimation model for wind speed probability distribution with applicability to wind energy assessment in China
Qinkai Han et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
An investigation of wind power density distribution at location with low an high wind speeds using statistical model
Vladislovas Katinas et al.
APPLIED ENERGY (2018)
Spatial distribution of offshore wind statistics on the coast of Portugal using Regional Frequency Analysis
R. M. Campos et al.
RENEWABLE ENERGY (2018)
Wind speed analysis using the Extended Generalized Lindley Distribution
Yeliz Mert Kantar et al.
RENEWABLE ENERGY (2018)
Analysis of wind speed data and wind energy potential in Faya-Largeau, Chad, using Weibull distribution
M. H. Soulouknga et al.
RENEWABLE ENERGY (2018)
On the mixture of wind speed distribution in a Nordic region
Taha B. M. J. Ouarda et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Sensitivity analysis of the system of wind speed distributions
Christopher Jung et al.
ENERGY CONVERSION AND MANAGEMENT (2018)