Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...

Abstract: Accurate short-term power forecasting is crucial for the successful commercialization of solar energy, helping to prevent financial losses in energy markets. Federated learning (FL) offers a ...

Abstract: This paper focuses on the design and application of a multivariate financial time series prediction model based on the Transformer, with the goal of enhancing forecast accuracy and ...