This paper develops a short-term net load forecasting model based on optimized GRU model with improved algorithm. The GRU model, a variant of recurrent neural networks, addresses the gradient ...

As the demand for power load forecasting continues to grow in modern society, this paper proposes an improved D_KAN model that integrates Kolmogorov-Arnold Networks (KAN) into the DLinear power load ...