pv magazine International

Hybrid deep learning model for PV forecasting in scenarios with considerable fluctuations

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
EurekAlert!

New irradiance forecasting method could improve stand-alone photovoltaic system operation

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...
PV Tech

Amperon unveils probabilistic forecasting tools for solar and wind assets

Forecasting company Amperon has launched a new AI-based short-term probabilistic forecasting tool for solar and wind ...
EurekAlert!

Gradient boosting dendritic network for ultra-short-term PV power prediction

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...
pv magazine USA

Amperon launches probabilistic forecasting tool for solar and wind assets

Amperon has introduced a new AI-powered forecasting tool that provides 19 distinct probability bands for solar and wind ...
PV Tech

Solar needs ‘high-resolution data’ to manage weather and grid curtailments, says expert

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 ...
pv magazine International

Saharan dust events can reduce PV power output in Mediterranean area by up to 50%

Researchers at Hungary's HUN-REN Research Centre for Astronomy and Earth Sciences have investigated the impact of Saharan dust storm events on PV power generation in Portugal, Spain, France, Italy, ...