A review of deep learning for renewable energy forecasting
As renewable energy becomes increasingly popular in the global electric energy grid,
improving the accuracy of renewable energy forecasting is critical to power system planning …
improving the accuracy of renewable energy forecasting is critical to power system planning …
A comprehensive review on deep learning approaches in wind forecasting applications
The effective use of wind energy is an essential part of the sustainable development of
human society, in particular, at the recent unprecedented pressure in shaping a low carbon …
human society, in particular, at the recent unprecedented pressure in shaping a low carbon …
A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism
M Yu, D Niu, T Gao, K Wang, L Sun, M Li, X Xu - Energy, 2023 - Elsevier
With resource shortages and global warming becoming increasingly serious, it is urgent to
accelerate the transition to green and low-carbon energy. Wind power, as a kind of green …
accelerate the transition to green and low-carbon energy. Wind power, as a kind of green …
Short-term wind power forecasting based on support vector machine with improved dragonfly algorithm
It is hard to predict wind power with high-precision due to its non-stationary and stochastic
nature. The wind power has developed rapidly around the world as a promising renewable …
nature. The wind power has developed rapidly around the world as a promising renewable …
Deep learning based ensemble approach for probabilistic wind power forecasting
Due to the economic and environmental benefits, wind power is becoming one of the more
promising supplements for electric power generation. However, the uncertainty exhibited in …
promising supplements for electric power generation. However, the uncertainty exhibited in …
A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting
The accuracy of the wind speed prediction is of crucial significance for the operation and
dispatch of the power grid system reasonably. However, wind speed is so random and …
dispatch of the power grid system reasonably. However, wind speed is so random and …
Deep belief network based deterministic and probabilistic wind speed forecasting approach
With the rapid growth of wind power penetration into modern power grids, wind speed
forecasting (WSF) plays an increasingly significant role in the planning and operation of …
forecasting (WSF) plays an increasingly significant role in the planning and operation of …
Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network
The penetration of photovoltaic (PV) energy into modern electric power and energy systems
has been gradually increased in recent years due to its benefits of being abundant …
has been gradually increased in recent years due to its benefits of being abundant …
[HTML][HTML] An overview of performance evaluation metrics for short-term statistical wind power forecasting
Wind power forecasting has become an essential tool for energy trading and the operation
of the grid due to the increasing importance of wind energy. Therefore, estimating the …
of the grid due to the increasing importance of wind energy. Therefore, estimating the …
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Recent developments in renewable energy have highlighted the need for rational use of
wind energy. Accurate prediction of wind speed and wind power is recognized as an …
wind energy. Accurate prediction of wind speed and wind power is recognized as an …