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

In today's rapidly changing world, improving forecast accuracy is more crucial—and more challenging—than ever. Traditional methods struggle to keep up with unpredictable consumer behavior, driven by ...

Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...