Malik Intisar Ali Sajjad

A multi-expert deep learning framework for accurate and scalable appliance-level energy disaggregation

The proposed MoE-BiGRU-Transformer model captures bidirectional temporal dependencies, global contextual features, and appliance-specific patterns through a self-attention process using the Transformer encoder component and learns appliance specialization through a gating function learning approach using the MoE compon...