Recent advancements in neural network methodologies have revolutionised hydrological forecasting, enabling more accurate, robust and computationally efficient predictions of water resource dynamics.

Extreme weather events have brought grid resilience into focus in the United States, where hurricanes can wreak havoc on energy infrastructure. During a crisis, quick decisions in the control room are ...

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...

Researchers have developed a hybrid AI model that significantly improves the accuracy of predicting ...