Related references
Note: Only part of the references are listed.Conformal asymmetric multi-quantile generative transformer for day-ahead wind power interval prediction
Wei Wang et al.
APPLIED ENERGY (2023)
A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting
Hakan Acikgoz
APPLIED ENERGY (2022)
A compositive architecture coupling outlier correction, EWT, nonlinear Volterra multi-model fusion with multi-objective optimization for short-term wind speed forecasting
Ping Fang et al.
APPLIED ENERGY (2022)
Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang et al.
APPLIED ENERGY (2022)
Deep learning for twelve hour precipitation forecasts
Lasse Espeholt et al.
NATURE COMMUNICATIONS (2022)
Dynamic spatio-temporal correlation and hierarchical directed graph structure based ultra-short-term wind farm cluster power forecasting method
Fei Wang et al.
APPLIED ENERGY (2022)
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Lifang Zhang 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 hybrid approach for multi-step wind speed forecasting based on two-layer decomposition, improved hybrid DE-HHO optimization and KELM
Wenlong Fu et al.
RENEWABLE ENERGY (2021)
A combined forecasting model for time series: Application to short-term wind speed forecasting
Zhenkun Liu et al.
APPLIED ENERGY (2020)
Better seasonal forecasts for the renewable energy industry
Anton Orlov et al.
NATURE ENERGY (2020)
A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting
Hui Liu et al.
ENERGY (2020)
Taxonomy research of artificial intelligence for deterministic solar power forecasting
Huaizhi Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Bixuan Gao et al.
RENEWABLE ENERGY (2020)
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu et al.
APPLIED ENERGY (2019)
Solar photovoltaic generation forecasting methods: A review
Sobrina Sobri et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Probabilistic forecasting of the solar irradiance with recursive ARMA and GARCH models
M. David et al.
SOLAR ENERGY (2016)
The quiet revolution of numerical weather prediction
Peter Bauer et al.
NATURE (2015)
A benchmarking of machine learning techniques for solar radiation forecasting in an insular context
Philippe Lauret et al.
SOLAR ENERGY (2015)
Short-term solar irradiance forecasting using exponential smoothing state space model
Zibo Dong et al.
ENERGY (2013)