"DK-Fusionformer: Grid-Oriented and Physics-Consistent Long-Horizon PV Power Forecasting Under Complex Meteorological Conditions"

"This package provides the source code accompanying a time-series forecasting study. It is built on a unified experimental framework that supports data loading, preprocessing, model construction, training, validation, testing, and evaluation. The repository includes core modules for reproducible experiments, such as model definitions, shared neural network layers, dataset processing utilities, and experiment management components. It is intended to help users understand, reproduce, and extend the forecasting methods presented in the associated research work. The package is organized to support clear experimental workflows and can be adapted to custom datasets and different forecasting settings for benchmarking, method comparison, and further development in academic research and practical applications.To obtain the password for the compressed DK-Fusionformer source code package, please send an email request to the corresponding contact email using the format below. Requests that do not follow this format may not be processed.Title of Mail:DK-Fusionformer: your_organization: your_namePlease note that \u201cDK-Fusionformer\u201d must not be omitted. It is a fixed identifier used to help us recognize valid download requests and distinguish them from unrelated emails or spam.Body of Mail:Organization Detail: Your organization detailsMain Works: Your main worksUsages: How you plan to use this source code package"