A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants with abundant data to plants that need to be trained without labelled data.

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 ...

Data collection and analysis in solar PV installations is increasingly sophisticated and granular, particularly relating to grid interaction and weather forecasting. One less commonly reported aspect ...

Amperon’s new short-term forecasting tool is designed to help market and operational decision-making in a renewables-heavy grid. Image: Better Energy. US-based energy forecasting company Amperon has ...