Related references
Note: Only part of the references are listed.A Deep Convolutional Neural Network Model for Improving WRF Simulations
Alqamah Sayeed et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)
A multivariate dependence analysis for electricity prices, demand and renewable energy sources
Fabrizio Durante et al.
INFORMATION SCIENCES (2022)
Graph correlated attention recurrent neural network for multivariate time series forecasting
Xiulin Geng et al.
INFORMATION SCIENCES (2022)
Multi-objective prediction intervals for wind power forecast based on deep neural networks
Min Zhou et al.
INFORMATION SCIENCES (2021)
A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting
Shuai Zhang et al.
INFORMATION SCIENCES (2021)
PM2.5 concentration modeling and prediction by using temperature-based deep belief network
Haixia Xing et al.
NEURAL NETWORKS (2021)
An adaptive hybrid system using deep learning for wind speed forecasting
Paulo S. G. de Mattos Neto et al.
INFORMATION SCIENCES (2021)
Multi-aspect renewable energy forecasting
Roberto Corizzo et al.
INFORMATION SCIENCES (2021)
Multistep short-term wind speed prediction using nonlinear auto-regressive neural network with exogenous variable selection
Fuad Noman et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
A generative adversarial network approach to (ensemble) weather prediction
Alex Bihlo
NEURAL NETWORKS (2021)
Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives
Weili Guan et al.
IEEE TRANSACTIONS ON CYBERNETICS (2021)
Multi-task learning for the prediction of wind power ramp events with deep neural networks
M. Dorado-Moreno et al.
NEURAL NETWORKS (2020)
Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction
Qiaomu Zhu et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Transductive LSTM for time-series prediction: An application to weather forecasting
Zahra Karevan et al.
NEURAL NETWORKS (2020)
Multistep Prediction of Dynamic Systems With Recurrent Neural Networks
Nima Mohajerin et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Particle-swarm optimization of ensemble neural networks with negative correlation learning for forecasting short-term wind speed of wind farms in western China
Tao Ma et al.
INFORMATION SCIENCES (2019)
Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models
Marc Bocquet et al.
NONLINEAR PROCESSES IN GEOPHYSICS (2019)
An improved neural network-based approach for short-term wind speed and power forecast
G. W. Chang et al.
RENEWABLE ENERGY (2017)
Linear and non-linear autoregressive models for short-term wind speed forecasting
M. Lydia et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
Jianzhou Wang et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system
Hui Liu et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2015)
Wind Power Forecasts Using Gaussian Processes and Numerical Weather Prediction
Niya Chen et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2014)
Fuzzy rough regression with application to wind speed prediction
Shuang An et al.
INFORMATION SCIENCES (2014)
Estimation of wind speed: A data-driven approach
Andrew Kusiak et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2010)
Forecasting and simulating wind speed in Corsica by using an autoregressive model
P Poggi et al.
ENERGY CONVERSION AND MANAGEMENT (2003)