Ddbn -

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

Primarily used for visual data classification and scene recognition (e.g., indoor environment classification). Used for short-term load forecasting

Aims to improve accuracy by generating different semantic features. 2. Discriminative Deep Belief Network (Machine Learning) Used for short-term load forecasting