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Biography

Ashkan Sadeghi-Mobarakeh received the M.Sc. degree in energy systems engineering from Sharif University of Technology, Tehran, Iran, in 2012. He is currently working toward his Ph.D. degree in electrical and computer engineering at the University of California, Riverside, CA, USA. His research interests include the application of operation research, mathematical optimization, and data mining techniques in electricity markets, power systems, and smart grid.

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Education and qualifications (2)

University of California Riverside: Riverside, CA, US

2014 to present
Education
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Sharif University of Technology: Tehran, Tehran, IR

2010 to 2012
Education
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Works (15)

Strategic Convergence Bidding in Nodal Electricity Markets: Optimal Bid Selection and Market Implications

IEEE Transactions on Power Systems
2021-03 | Journal article
DOI: 10.1109/TPWRS.2020.3025098
Contributors: Mahdi Kohansal; Ashkan Sadeghi-Mobarakeh; Saeed D. Manshadi; Hamed Mohsenian-Rad
Source: check_circle
Crossref

Optimal Market Participation of Distributed Load Resources Under Distribution Network Operational Limits and Renewable Generation Uncertainties

IEEE Transactions on Smart Grid
2019-07 | Journal article
DOI: 10.1109/TSG.2018.2830751
Contributors: Ashkan Sadeghi-Mobarakeh; Alireza Shahsavari; Hossein Haghighat; Hamed Mohsenian-Rad
Source: check_circle
Crossref

Performance Accuracy Scores in CAISO and MISO Regulation Markets: A Comparison Based on Real Data and Mathematical Analysis

IEEE Transactions on Power Systems
2018-05 | Journal article
DOI: 10.1109/TPWRS.2018.2816808
Contributors: Ashkan Sadeghi-Mobarakeh; Hamed Mohsenian-Rad
Source: check_circle
Crossref

A Data-driven Analysis of Supply Bids in CAISO Market: Price Elasticity and Impact of Renewables

International Conference on Smart Grid Communications
2017 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Data Mining based on Random Forest Model to Predict the California ISO Day-ahead Market Prices

Innovative Smart Grid Technologies (ISGT)
2017 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Distribution grid reliability versus regulation market efficiency: An analysis based on micro-pmu data

IEEE Transactions on Smart Grid
2017 | Journal article
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Optimal Bidding in Performance-Based Regulation Markets: An MPEC Analysis With System Dynamics

IEEE Transactions on Power Systems
2017 | Journal article
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Optimal Price-Energy Demand Bids for Aggregate Price-Responsive Loads

IEEE Transactions on Smart Grid
2017 | Journal article
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Strategic bidding for producers in nodal electricity markets: A convex relaxation approach

IEEE Transactions on Power Systems
2017 | Journal article
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

A bi-level approach for optimal contract pricing of independent dispatchable DG units in distribution networks

International Transactions on Electrical Energy Systems
2016 | Journal article
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Distribution grid reliability analysis considering regulation down load resources via micro-PMU data

Smart Grid Communications (SmartGridComm), 2016 IEEE International Conference on
2016 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Strategic selection of capacity and mileage bids in California ISO performance-based regulation market

Power and Energy Society General Meeting (PESGM), 2016
2016 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

A game theoretic framework for DG optimal contract pricing

Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
2013 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

A study of the reliability of various types of the electric vehicles

Electric Vehicle Conference (IEVC), 2012 IEEE International
2012 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh

Smart fault classification in HVDC system based on optimal probabilistic neural networks

Smart Grids (ICSG), 2012 2nd Iranian Conference on
2012 | Conference paper
Source: Self-asserted source
Ashkan Sadeghi-Mobarakeh
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