Evaluation metrics for wind power forecasts: A comprehensive review and statistical analysis of errors
Power generation forecasts for wind farms, especially with a short-term horizon, have been
extensively researched due to the growing share of wind farms in total power generation …
extensively researched due to the growing share of wind farms in total power generation …
[HTML][HTML] Multistep short-term wind speed forecasting using transformer
H Wu, K Meng, D Fan, Z Zhang, Q Liu - Energy, 2022 - Elsevier
Wind power can effectively alleviate the energy crisis. However, its integration into the grid
affects power quality and power grid stability. Accurate wind speed prediction is a key factor …
affects power quality and power grid stability. Accurate wind speed prediction is a key factor …
A novel transfer learning approach for wind power prediction based on a serio-parallel deep learning architecture
H Yin, Z Ou, J Fu, Y Cai, S Chen, A Meng - Energy, 2021 - Elsevier
Although machine learning methods have been widely applied in the wind power prediction
field, they are not suitable for building the prediction model of a new-built wind farm because …
field, they are not suitable for building the prediction model of a new-built wind farm because …
Short-term wind speed forecasting based on spatial-temporal graph transformer networks
Wind energy is a widely concerned renewable energy source. Accurate short-term wind
speed forecasting is helpful for the stable operation of wind power systems, which is crucial …
speed forecasting is helpful for the stable operation of wind power systems, which is crucial …
Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network
YY Hong, TRA Satriani - Energy, 2020 - Elsevier
The operations of power systems are becoming increasingly challenging due to the high
penetration of renewable power generation, which is uncertain and stochastic. Highly …
penetration of renewable power generation, which is uncertain and stochastic. Highly …
[HTML][HTML] Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network …
Wind energy is an environment friendly, low-carbon, and cost-effective renewable energy
source. It is, however, difficult to integrate wind energy into a mixed energy grid due to its …
source. It is, however, difficult to integrate wind energy into a mixed energy grid due to its …
A dagging‐based deep learning framework for transmission line flexibility assessment
Uncertainty in renewable energy generation, energy consumption, and electricity prices, as
well as transmission congestion, pose a number of problems in modern power grids …
well as transmission congestion, pose a number of problems in modern power grids …
Hybrid deep learning and quantum-inspired neural network for day-ahead spatiotemporal wind speed forecasting
YY Hong, CLPP Rioflorido, W Zhang - Expert Systems with Applications, 2024 - Elsevier
Wind is an essential, clean and sustainable renewable source of energy; however, wind
speed is stochastic and intermittent. Accurate wind power generation forecasts are required …
speed is stochastic and intermittent. Accurate wind power generation forecasts are required …
An improved sunflower optimization algorithm-based Monte Carlo simulation for efficiency improvement of radial distribution systems considering wind power …
All over the world, the operators of the power distribution networks (DNs) are still looking for
improving the efficiency of their networks. The performance of DNs and lifetime of its …
improving the efficiency of their networks. The performance of DNs and lifetime of its …
Deep spatial-temporal 2-D CNN-BLSTM model for ultrashort-term LiDAR-assisted wind turbine's power and fatigue load forecasting
A Dolatabadi, H Abdeltawab… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Optimizing wind turbine performance is still a challenge due to the dynamic interactions
between the spatially temporally stochastic wind fields and the wind turbine as a complex …
between the spatially temporally stochastic wind fields and the wind turbine as a complex …