Nadali Mahmoudi
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An annual framework for clustering-based pricing for an electricity retailer
N Mahmoudi-Kohan, MP Moghaddam, MK Sheikh-El-Eslami
Electric Power Systems Research 80 (9), 1042-1048, 2010
A three-stage strategy for optimal price offering by a retailer based on clustering techniques
N Mahmoudi-Kohan, MP Moghaddam, MK Sheikh-El-Eslami, ...
International Journal of Electrical Power & Energy Systems 32 (10), 1135-1142, 2010
Modelling demand response aggregator behavior in wind power offering strategies
N Mahmoudi, TK Saha, M Eghbal
Applied Energy 133, 347-355, 2014
An innovative two-level model for electric vehicle parking lots in distribution systems with renewable energy
M Shafie-Khah, P Siano, DZ Fitiwi, N Mahmoudi, JPS Catalao
IEEE Transactions on Smart Grid 9 (2), 1506-1520, 2017
A bottom-up approach for demand response aggregators’ participation in electricity markets
N Mahmoudi, E Heydarian-Forushani, M Shafie-khah, TK Saha, ...
Electric Power Systems Research 143, 121-129, 2017
Self-scheduling of demand response aggregators in short-term markets based on information gap decision theory
M Vahid-Ghavidel, N Mahmoudi, B Mohammadi-Ivatloo
IEEE Transactions on Smart Grid 10 (2), 2115-2126, 2018
Wind power offering strategy in day-ahead markets: employing demand response in a two-stage plan
N Mahmoudi, TK Saha, M Eghbal
IEEE Transactions on Power systems 30 (4), 1888-1896, 2014
A new demand response scheme for electricity retailers
N Mahmoudi, TK Saha, M Eghbal
Electric Power Systems Research 108, 144-152, 2014
Employing demand response in energy procurement plans of electricity retailers
N Mahmoudi, M Eghbal, TK Saha
International Journal of Electrical Power & Energy Systems 63, 455-460, 2014
Demand response in future power networks: panorama and state-of-the-art
MH Amini, S Talari, H Arasteh, N Mahmoudi, M Kazemi, A Abdollahi, ...
Sustainable interdependent networks II, 167-191, 2019
Evaluating different clustering techniques for electricity customer classification
SM Bidoki, N Mahmoudi-Kohan, MH Sadreddini, MZ Jahromi, ...
IEEE PES T&D 2010, 1-5, 2010
Improving WFA k-means technique for demand response programs applications
N Mahmoudi-Kohan, MP Moghaddam, MK Sheikh-El-Eslami, SM Bidaki
2009 IEEE Power & Energy Society General Meeting, 1-5, 2009
Evaluating performance of WFA K-means and Modified Follow the leader methods for clustering load curves
N Mahmoudi-Kohan, MP Moghaddam, SM Bidaki
2009 IEEE/PES Power Systems Conference and Exposition, 1-5, 2009
Demand response application by strategic wind power producers
N Mahmoudi, TK Saha, M Eghbal
IEEE Transactions on Power Systems 31 (2), 1227-1237, 2015
A stochastic integrated planning of electricity and natural gas networks for Queensland, Australia considering high renewable penetration
JB Nunes, N Mahmoudi, TK Saha, D Chattopadhyay
Energy 153, 539-553, 2018
Customer-driven demand response model for facilitating roof-top PV and wind power integration
N Mahmoudi, M Shafie-Khah, TK Saha, JPS Catal„o
IET Renewable Power Generation 11 (9), 1200-1210, 2017
Investigation into modeling Australian power transformer failure and retirement statistics
D Martin, J Marks, TK Saha, O Krause, N Mahmoudi
IEEE Transactions on Power Delivery 33 (4), 2011-2019, 2018
Security-based demand response allocation
E Shayesteh, M Eliasi, N Mahmoudi-Kohan, MP Moghaddam
2009 IEEE Power & Energy Society General Meeting, 1-7, 2009
Comparison of modified k-means and hierarchical algorithms in customers load curves clustering for designing suitable tariffs in electricity market
NM Kohan, MP Moghaddam, SM Bidaki, GR Yousefi
2008 43rd International Universities Power Engineering Conference, 1-5, 2008
Utilizing demand response programs in day ahead generation scheduling for micro-grids with renewable sources
M Eghbal, TK Saha, N Mahmoudi-Kohan
2011 IEEE PES Innovative Smart Grid Technologies, 1-6, 2011
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