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

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 ...

Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning. They process ...

Researchers from China have developed a novel way to nowcast the cloud coverage of PV plants. It consists of a new algorithm that uses machine learning techniques for processing and taking ...

Artificial intelligence (AI) is enabling drones to perform real-time analysis, mapping, and tracking of information from their cameras. Researchers from the Massachusetts Institute of Technology (MIT) ...