Dr Nur Mohammad, PhD
Dr Nur Mohammad, PhD
PhD Research (QUT), Associate Professor (CUET)
Verified email at hdr.qut.edu.au - Homepage
Title
Cited by
Cited by
Year
Maximum power point tracking of photovoltaic arrays in Matlab using fuzzy logic controller
MA Islam, AB Talukdar, N Mohammad, PKS Khan
2010 Annual IEEE India Conference (INDICON), 1-4, 2010
412010
Design and implementation of hybrid automatic solar-tracking system
N Mohammad, T Karim
Journal of Solar Energy Engineering 135 (1), 011013, 2013
342013
Coordination of wind generation and demand response to minimise operation cost in day-ahead electricity markets using bi-level optimisation framework
N Mohammad, Y Mishra
IET Generation, Transmission & Distribution 12 (16), 3793-3802, 2018
222018
A novel two switch non-inverting buck-boost converter based maximum power point tracking system
KT Ahmed, M Datta, N Mohammad
International Journal of Electrical and Computer Engineering 3 (4), 467, 2013
222013
Modeling and performance analysis of a generalized photovoltaic array in Matlab
MA Islam, N Mohammad, PKS Khan
2010 Joint International Conference on Power Electronics, Drives and Energy …, 2010
222010
Improved Solar Photovoltaic Array Model with FLC Based Maximum Power Point Tracking.
N Mohammad, M Islam, T Karim, QD Hossain
International Journal of Electrical & Computer Engineering (2088-8708) 2 (6), 2012
182012
Parasitic effects on the performance of dc-dc sepic in photovoltaic maximum power point tracking applications
N Mohammad, M Quamruzzaman, MRT Hossain, MR Alam
Scientific Research Publishing, 2013
172013
Transactive Market Clearing Model with Coordinated Integration of Large-Scale Solar PV Farms and Demand Response Capable Loads
N Mohammad, Y Mishra
Australasian Universities Power Engineering Conference-2017 (AUPEC2017), 2017
132017
Highly efficient maximum power point tracking using DC–DC coupled inductor single-ended primary inductance converter for photovoltaic power systems
M Quamruzzaman, N Mohammad, MA Matin, MR Alam
International Journal of Sustainable Energy 35 (9), 914-932, 2016
122016
Competition driven bi-level supply offer strategies in day ahead electricity market
N Mohammad, Y Mishra
2016 Australasian Universities Power Engineering Conference (AUPEC), 1-6, 2016
112016
Electric Power Generation-Mix for Bangladesh and Its Future
A Nath, S Barua, N Mohammad
2019 International Conference on Electrical, Computer and Communication …, 2019
62019
The Role of Demand Response Aggregators and the Effect of GenCos Strategic Bidding on the Flexibility of Demand
N Mohammad, Y Mishra
Energies 11 (12), 1-22, 2018
62018
Book Chapter, Demand Side Management and Demand Response for Smart Grid
M Nur, M Yateendra
In: Kabalci Yasin, Kabalci Ersan, editors, Smart Grid and Their …, 2018
6*2018
Retailer's risk-aware trading framework with demand response aggregators in short-term electricity markets
N Mohammad, Y Mishra
IET Generation, Transmission & Distribution 13 (13), 2611-2618, 2019
52019
Multi-directional solar tracker using low cost photo sensor matrix
N Mamun, NH Samrat, N Mohammad, MJ Islam, MHR Prince, R Adib, ...
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on, 1-5, 2014
52014
Optimal Energy Mix and Operation Cost in the Presence of Nuclear and Solar PV Generation
S Hossain, M Rahaman, I Tasnim, N Mohammad
2019 International Conference on Electrical, Computer and Communication …, 2019
42019
An Outlook over Electrical Energy Generation and Mixing Policies of Bangladesh to Achieve Sustainable Energy Targets-Vision 2041
MK Hasan, N Mohammad
2019 International Conference on Electrical, Computer and Communication …, 2019
42019
Transactive control of industrial heating–ventilation–air-conditioning units in cold-storage warehouses for demand response
N Mohammad, A Rahman
Sustainable Energy, Grids and Networks 18, 100201, 2019
32019
Review on Frequency Adjustment for Power Systems with Grid Connected Wind Farm
K Ahmad, N Mohammad, M Quamruzzaman
2019 International Conference on Robotics, Electrical and Signal Processing …, 2019
32019
Competitive demand response trading in electricity markets: Aggregator and end-user perspectives
N Mohammad
Queensland University of Technology, 2018
32018
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