The accuracy of long-term macroeconomic forecasts substantially affects ... However, these studies have mostly focused on short-term forecasts of one or two years. For a complete list of past and ...

“We aim to enhance prediction accuracy by implementing data ... sky imaging-based short-term solar irradiance forecasting with Long Short-Term Memory networks,” published on Solar Energy.

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 ...

as they consume significant seller time and often fall short in accuracy. Sales forecasting has long been a time-consuming process that diverts sellers’ attention from engaging with customers. Despite ...