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2018

Conference Publication

Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management

Vahid-Ghavidel, Morteza, Mohammadi-Ivatloo, B., Shafie-Khah, Miadreza, Osorio, Gerardo J., Mahmoudi, Nadali and Catalao, Joao P. S. (2018). Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management. 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2018, Palermo, Italy, 12 - 15 June 2018. NEW YORK: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/EEEIC.2018.8493699

Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management

2017

Conference Publication

Customer-driven demand response model for facilitating roof-top PV and wind power integration

Mahmoudi, Nadali, Shafie-Khah, Miadreza, Saha, Tapan K. and Catalão, João P.S. (2017). Customer-driven demand response model for facilitating roof-top PV and wind power integration. Offshore Energy & Storage Symposium 2016 (OSES 2016), Msida, Malta, 13-15 July 2016. Stevenage, Hertfordshire, United Kingdom: Institution of Engineering and Technology. doi: 10.1049/iet-rpg.2016.0752

Customer-driven demand response model for facilitating roof-top PV and wind power integration

2016

Conference Publication

Stochastic generation and transmission planning considering future renewable and gas opportunities in Queensland, Australia

Nunes, Juliana Barbosa, Mahmoudi, Nadali, Saha, Tapan Kumar and Chattopadhyay, Debabrata (2016). Stochastic generation and transmission planning considering future renewable and gas opportunities in Queensland, Australia. 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, MA, United States, 17 - 21 July 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PESGM.2016.7742027

Stochastic generation and transmission planning considering future renewable and gas opportunities in Queensland, Australia

2015

Conference Publication

Generation expansion planning in Queensland under rooftop photovoltaic penetration and gas market uncertainties

Barbosa Nunes, Juliana, Mahmoudi, Nadali, Saha, Tapan Kumar and Chattopadhyay, Debabrata (2015). Generation expansion planning in Queensland under rooftop photovoltaic penetration and gas market uncertainties. IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Brisbane, Australia, 15-18 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronic Engineers (IEEE). doi: 10.1109/APPEEC.2015.7380967

Generation expansion planning in Queensland under rooftop photovoltaic penetration and gas market uncertainties

2015

Conference Publication

Optimization of static wind power investment in the Australian national electricity market

Forsyth, Sebastian, Mahmoudi, Nadali and Saha, Tapan (2015). Optimization of static wind power investment in the Australian national electricity market. IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Brisbane, Australia, 15-18 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronic Engineers (IEEE). doi: 10.1109/APPEEC.2015.7381014

Optimization of static wind power investment in the Australian national electricity market

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

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

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