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Dr Nadali Mahmoudi
Dr

Nadali Mahmoudi

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Overview

Background

Nadali (S'08–M'15 IEEE) is currently a Postdoctoral Research Fellow at the School of Information Technology and Electrical Engineering, University of Queensland. He received the B.Sc. in electrical engineering from Isfahan University of Technology, Iran, in 2007, the M.Sc. degree in power engineering from Tarbiat Modares University, Tehran, Iran, in 2010, and the Ph.D. degree in electrical power engineering from the University of Queensland, Brisbane, Australia, in 2015. His research interests include power systems economics and electricity markets, demand response, renewable energy, optimization, and stochastic programming.

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Awards:

UQI Scholarship, 2011-2015;

IEEE Australia Council Postgraduate Student Paper Award, 2014;

Poster Presentation Award, IEEE Australia and New Zealand Student Congress, Brisbane, 2014;

IEEE PES Queensland Travel Award, 2013;

Top First Year PhD Student, School of ITEE, University of Queensland, 2012.

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Current PhD Positions:

PES Group at UQ is always looking for talented prospective PhD students. Currently, we are looking for a PhD candidate who has experience in Demand Response and Distribution Network Issues, as well as confident at Mathematical Programming and Optimization. If you are interested, please contact me through my email (Attach your resume in PDF). Please keep in mind to be successful in your application at UQ, in addition to a good GPA, you have to show your strong research skill through your publications. So, if you don't have the above criteria, please don't bother yourself to contact me as your chance is slim.

Availability

Dr Nadali Mahmoudi is:
Available for supervision

Qualifications

  • Bachelor of Science in Electrical Engineering, Isfahan University of Technology
  • Masters (Coursework) of Electrical Engineering, Tarbiat Modares University
  • Doctor of Philosophy, The University of Queensland

Research interests

  • Power Systems Economics and Electricity Market

  • Demand Response

  • Renewable Energy Integration

  • Mathematical Programming and Optimization

Works

Search Professor Nadali Mahmoudi’s works on UQ eSpace

29 works between 2010 and 2020

21 - 29 of 29 works

2014

Conference Publication

A new trading framework for demand response aggregators

Mahmoudi, Nadali, Saha, Tapan Kumar and Eghbal, Mehdi (2014). A new trading framework for demand response aggregators. 2014 IEEE PES General Meeting: Conference and Exposition, National Harbour, MD, United States, 27-31 July 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PESGM.2014.6938882

A new trading framework for demand response aggregators

2014

Journal Article

A new demand response scheme for electricity retailers

Mahmoudi, Nadali, Saha, Tapan K. and Eghbal, Mehdi (2014). A new demand response scheme for electricity retailers. Electric Power Systems Research, 108, 144-152. doi: 10.1016/j.epsr.2013.11.009

A new demand response scheme for electricity retailers

2014

Journal Article

Employing demand response in energy procurement plans of electricity retailers

Mahmoudi, Nadali, Eghbal, Mehdi and Saha, Tapan K. (2014). Employing demand response in energy procurement plans of electricity retailers. International Journal of Electrical Power and Energy Systems, 63, 455-460. doi: 10.1016/j.ijepes.2014.06.018

Employing demand response in energy procurement plans of electricity retailers

2014

Conference Publication

Queensland load profiling by using clustering techniques

Colley, Daven, Mahmoudi, Nadali, Eghbal, Mehdi and Saha, Tapan K. (2014). Queensland load profiling by using clustering techniques. 2014 Australasian Universities Power Engineering Conference, Perth, WA, Australia, 28 September - 1 October 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/AUPEC.2014.6966554

Queensland load profiling by using clustering techniques

2013

Conference Publication

Developing a scenario-based demand response for short-term decisions of electricity retailers

Mahmoudi, Nadali, Saha, Tapan Kumar and Eghbal, Mehdi (2013). Developing a scenario-based demand response for short-term decisions of electricity retailers. PES-GM 2013: IEEE Power and Energy Society General Meeting 2013, Vancouver, BC, Canada, 22-25 July, 2013. Piscataway, NJ, USA: Institute of Electrical and Electronic Engineers. doi: 10.1109/PESMG.2013.6672291

Developing a scenario-based demand response for short-term decisions of electricity retailers

2011

Conference Publication

Customer recognition-based demand response implementation by an electricity retailer

Mahmoudi-Kohan­, Nadali, Eghbal, Mehdi and Parsa Moghaddam, Mohsen (2011). Customer recognition-based demand response implementation by an electricity retailer. 21st Australasian Universities Power Engineering Conference (AUPEC 2011), Brisbane, Australia, 25-28 September 2011. Brisbane, Australia: Queensland University of Technology and IEEE.

Customer recognition-based demand response implementation by an electricity retailer

2011

Conference Publication

Utilizing Demand Response Programs in Day Ahead Generation Scheduling for Micro-Grids with Renewable Sources

Eghbal, Mehdi, Saha, Tapan K. and Mahmoudi, Nadali (2011). Utilizing Demand Response Programs in Day Ahead Generation Scheduling for Micro-Grids with Renewable Sources. IEEE Power and Energy Society’s Innovative Smart Grid Technologies Asia 2011 Conference (IEEE PES ISGT Asia 2011), Perth, W.A., Australia, 13-16 November 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISGT-Asia.2011.6167148

Utilizing Demand Response Programs in Day Ahead Generation Scheduling for Micro-Grids with Renewable Sources

2010

Journal Article

A three-stage strategy for optimal price offering by a retailer based on clustering techniques

Mahmoudi-Kohan, N., Moghaddam, M. Parsa, Sheikh-El-Eslami, M. K. and Shayesteh, Ebrahim (2010). A three-stage strategy for optimal price offering by a retailer based on clustering techniques. International Journal of Electrical Power and Energy Systems, 32 (10), 1135-1142. doi: 10.1016/j.ijepes.2010.06.011

A three-stage strategy for optimal price offering by a retailer based on clustering techniques

2010

Journal Article

An annual framework for clustering-based pricing for an electricity retailer

Mahmoudi-Kohan, N., Moghaddam, M. Parsa and Sheikh-El-Eslami, M. K. (2010). An annual framework for clustering-based pricing for an electricity retailer. Electric Power Systems Research, 80 (9), 1042-1048. doi: 10.1016/j.epsr.2010.01.010

An annual framework for clustering-based pricing for an electricity retailer

Supervision

Availability

Dr Nadali Mahmoudi is:
Available for supervision

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Media

Enquiries

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communications@uq.edu.au