Ddbn Direct

Used for short-term load forecasting, often operating without a central controller to handle large-scale data.

A novel object detection framework designed to enhance semantic diversity in predictions, often using "Adjacent Feature Compensation" (AFC). Key Features: Used for short-term load forecasting

Replaces standard Feature Pyramid Networks (FPN) with dual detection branches (e.g., Used for short-term load forecasting