[HTML][HTML] Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting
Y Yang, Z Wang, S Zhao, H Zhou, J Wu - Engineering Applications of …, 2024 - Elsevier
Accurate short-term power forecasting (STPF) provides reliable support for the stable
operation of power systems. However, due to the randomness of consumer behavior and …
operation of power systems. However, due to the randomness of consumer behavior and …
[PDF][PDF] Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models
Forecasting wind speed plays an increasingly essential role in the wind energy industry.
However, wind speed is uncertain with high changeability and dependency on weather …
However, wind speed is uncertain with high changeability and dependency on weather …
Regression-based machine learning approaches for estimating discharge from water levels in microtidal rivers
The challenges of managing water resources in tidal rivers, exacerbated by climate change
and anthropogenic impacts, require innovative approaches for accurate estimation of …
and anthropogenic impacts, require innovative approaches for accurate estimation of …