pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

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 ...

Combining satellite and regional numerical weather prediction effectively enhances the ability to forecast solar radiation

Recently, researchers from the Institute of Urban Meteorology, China Meteorological Administration, have combined data from the Fengyun-4B satellite with the regional numerical forecast model RMAPS-ST ...
GlobalData on MSN

Redefining load forecasting and management: how AI is making smart grids smarter

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
EurekAlert!

A dual-source data-driven gated spatiotemporal fusion network significantly enhances the accuracy of fine-scale lightning forecasting based on weather foundation models

This study is led by Li Yiran, Dr. Li Qingyong, Dr. Geng Yangli-ao and Guo zhiqing from Beijing Jiaotong University, and Dr. Zheng Dong, Dr. Xu Liangtao, Yao wen and Dr. Lyu Weitao from Chinese ...