most citedElectric Vehicle Battery Swapping Station

19 citations · 29 across the 4 of their papers we have counts for

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eess.SY2017

Distribution market as a ramping aggregator for grid flexibility support

Alireza Majzoobi, Mohsen Mahoor, Amin Khodaei

The growing proliferation of microgrids and distributed energy resources in distribution networks has resulted in the development of Distribution Market Operator (DMO). This new en…

eess.SY2017

Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation

Mohsen Mahoor, Amin Khodaei

Rapid growth of machine learning methodologies and their applications offer new opportunity for improved transformer asset management. Accordingly, power system operators are curre…

eess.SY2017★ 2 cited

Microgrid Value of Ramping

Alireza Majzoobi, Mohsen Mahoor, Amin Khodaei

The growing penetration of renewable generation in distribution networks, primarily deployed by end-use electricity customers, is changing the traditional load profile and inevitab…

eess.SY2017

Improved Selective Harmonic Elimination for Reducing Torque Harmonics of Induction Motors in Wide DC Bus Voltage Variations

Hossein Valiyan Holagh, Tooraj Abbasian Najafabadi, Mohsen Mahoor

Conventionally, Selective Harmonic Elimination (SHE) method in 2-level inverters, finds best switching angles to reach first voltage harmonic to reference level and eliminate other…

eess.SY2017

Leveraging Sensory Data in Estimating Transformer Lifetime

Mohsen Mahoor, Alireza Majzoobi, Zohreh S. Hosseini +1

Transformer lifetime assessments plays a vital role in reliable operation of power systems. In this paper, leveraging sensory data, an approach in estimating transformer lifetime i…

eess.SY2017

Leveraging Adaptive Model Predictive Controller for Active Cell Balancing in Li-ion Battery

Seyed Mahmoud Salamati, Seyed Ali Salamati, Mohsen Mahoor +1

Automotive industry is moving toward fully electric and hybrid electric vehicles. Accordingly, energy storage unit is one of the most important blocks in these electric drives. Bat…

eess.SY2017

Machine Learning Applications in Estimating Transformer Loss of Life

Alireza Majzoobi, Mohsen Mahoor, Amin Khodaei

Transformer life assessment and failure diagnostics have always been important problems for electric utility companies. Ambient temperature and load profile are the main factors wh…