A deep convolutional neural network model for improving WRF simulations
Advancements in numerical weather prediction (NWP) models have accelerated, fostering a
more comprehensive understanding of physical phenomena pertaining to the dynamics of …
more comprehensive understanding of physical phenomena pertaining to the dynamics of …
[HTML][HTML] Deep learning approaches for bias correction in WRF model outputs for enhanced solar and wind energy estimation: A case study in East and West Malaysia
AB Adomako, EJ Jamshidi, Y Yusup, E Elsebakhi… - Ecological …, 2024 - Elsevier
Accurate estimation of wind and solar energy potentials is crucial for successfully integrating
renewable energy into power grids. Traditional numerical weather prediction models, such …
renewable energy into power grids. Traditional numerical weather prediction models, such …
Comparative Analysis of Deep Learning and ARIMA-based Models for Multi-Step Weather Forecasting in the city of Yaoundé, Cameroon
ETA Albert, NME Leonard - 2024 - authorea.com
Background: The environmental imbalance caused by climate change has significantly
complicated weather forecasting, a crucial activity in modern agriculture. Recent research …
complicated weather forecasting, a crucial activity in modern agriculture. Recent research …