166 citations · 252 across the 15 of their papers we have counts for
18 papers
Non-Intrusive Load Monitoring (NILM) using Deep Neural Networks: A Review
Mohammad Irani Azad, Roozbeh Rajabi, Abouzar Estebsari
Demand-side management now encompasses more residential loads. To efficiently apply demand response strategies, it's essential to periodically observe the contribution of various d…
Sequence-to-Sequence Model with Transformer-based Attention Mechanism and Temporal Pooling for Non-Intrusive Load Monitoring
Mohammad Irani Azad, Roozbeh Rajabi, Abouzar Estebsari
This paper presents a novel Sequence-to-Sequence (Seq2Seq) model based on a transformer-based attention mechanism and temporal pooling for Non-Intrusive Load Monitoring (NILM) of s…
Electricity Price Forecasting Model based on Gated Recurrent Units
Nafise Rezaei, Roozbeh Rajabi, Abouzar Estebsari
The participation of consumers and producers in demand response programs has increased in smart grids, which reduces investment and operation costs of power systems. Also, with the…
Spectral Unmixing of Hyperspectral Images Based on Block Sparse Structure
Seyed Hossein Mosavi Azarang, Roozbeh Rajabi, Hadi Zayyani +1
Spectral unmixing (SU) of hyperspectral images (HSIs) is one of the important areas in remote sensing (RS) that needs to be carefully addressed in different RS applications. Despit…
Deep Learning Based Framework for Iranian License Plate Detection and Recognition
Mojtaba Shahidi Zandi, Roozbeh Rajabi
License plate recognition systems have a very important role in many applications such as toll management, parking control, and traffic management. In this paper, a framework of de…
Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network
Elahe Khoshbakhti Vaygan, Roozbeh Rajabi, Abouzar Estebsari
Integration of renewable energy sources and emerging loads like electric vehicles to smart grids brings more uncertainty to the distribution system management. Demand Side Manageme…