1 citations · 1 across the 5 of their papers we have counts for
5 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…
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…
Generation expansion planning in the presence of wind power plants using a genetic algorithm model
Ali Sahragard, Hamid Falaghi, Mahdi Farhadi +2
One of the essential aspects of power system planning is generation expansion planning (GEP). The purpose of GEP is to enhance construction planning and reduce the costs of install…