| Synchronization control for nonlinear stochastic dynamical networks: pinning impulsive strategy J Lu, J Kurths, J Cao, N Mahdavi, C Huang IEEE Transactions on Neural Networks and Learning Systems 23 (2), 285-292, 2011 | 432 | 2011 |
| Model predictive control of distributed air-conditioning loads to compensate fluctuations in solar power N Mahdavi, JH Braslavsky, MM Seron, SR West IEEE Transactions on Smart Grid 8 (6), 3055-3065, 2017 | 156 | 2017 |
| Mapping the effect of ambient temperature on the power demand of populations of air conditioners N Mahdavi, JH Braslavsky, C Perfumo IEEE Transactions on Smart Grid 9 (3), 1540-1550, 2016 | 81 | 2016 |
| Pinning impulsive synchronization of complex dynamical networks N Mahdavi, MB Menhaj, J Kurths, J Lu, A Afshar International Journal of Bifurcation and Chaos 22 (10), 1250239, 2012 | 68 | 2012 |
| Modelling and control of ensembles of variable-speed air conditioning loads for demand response N Mahdavi, JH Braslavsky IEEE Transactions on Smart Grid 11 (5), 4249-4260, 2020 | 66 | 2020 |
| Fuzzy complex dynamical networks and its synchronization N Mahdavi, MB Menhaj, J Kurths, J Lu IEEE Transactions on Cybernetics 43 (2), 648-659, 2013 | 47 | 2013 |
| A new set of sufficient conditions based on coupling parameters for synchronization of Hopfield like chaotic neural networks N Mahdavi, MB Menhaj International Journal of Control, Automation and Systems 9, 104-111, 2011 | 19 | 2011 |
| Probabilistic estimation of pv generation at customer and distribution feeder levels using net-demand data N Mahdavi, D Weeraddana, Y Guo IEEE Transactions on Smart Grid 14 (3), 1974-1984, 2022 | 18 | 2022 |
| A combination method for short term load forecasting used in Iran electricity market by NeuroFuzzy, Bayesian and finding similar days methods S Barghinia, S Kamankesh, N Mahdavi, AH Vahabie, AA Gorji 2008 5th International Conference on the European Electricity Market, 1-6, 2008 | 15 | 2008 |
| Short-term load forecasting for special days using bayesian neural networks N Mahdavi, MB Menhaj, S Barghinia 2006 IEEE PES Power Systems Conference and Exposition, 1518-1522, 2006 | 12 | 2006 |
| Machine learning based novel ensemble learning framework for electricity operational forecasting D Weeraddana, NLD Khoa, N Mahdavi Electric Power Systems Research 201, 107477, 2021 | 11 | 2021 |
| An analytical model for demand response of variable-speed air conditioners BJC van Putten, N Mahdavi, JH Braslavsky IFAC-PapersOnLine 51 (28), 426-431, 2018 | 8 | 2018 |
| Quantifying the predictability of renewable energy data for improving power systems decision-making S Karimi-Arpanahi, SA Pourmousavi, N Mahdavi Patterns 4 (4), 2023 | 7 | 2023 |
| Load balancing in low-voltage distribution networks via optimizing residential phase connections B Liu, F Geth, N Mahdavi, J Zhong 2021 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-5, 2021 | 7 | 2021 |
| Bayesian parameter estimation for direct load control of populations of air conditioners N Mahdavi, C Perfumo, JH Braslavsky IFAC Proceedings Volumes 47 (3), 9924-9929, 2014 | 7 | 2014 |
| Towards load control of populations of air conditioners with guaranteed comfort margins N Mahdavi, C Perfumo, JH Braslavsky IFAC Proceedings Volumes 47 (3), 9930-9935, 2014 | 7 | 2014 |
| A novel robust impulsive chaos synchronization approach for uncertain complex dynamical networks NM Mazdeh, MB Menhaj, HA Talebi IEICE transactions on fundamentals of electronics, communications and …, 2009 | 6 | 2009 |
| Machine learning method for day classification to understand thermostatically controlled load demand Y Guo, N Mahdavi 2017 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia), 1-5, 2017 | 4 | 2017 |
| Model predictive control of distributed air-conditioning loads for mitigation of solar variability N Mahdavi, JH Braslavsky, MM Seron 2016 Australian Control Conference (AuCC), 162-167, 2016 | 4 | 2016 |
| Linear OPF-Based Robust Dynamic Operating Envelopes with Uncertainties in Unbalanced Distribution Networks B Liu, JH Braslavsky, N Mahdavi Journal of Modern Power Systems and Clean Energy, 2023 | 3 | 2023 |
Julio H. BraslavskySenior Principal Research Scientist, CSIRO EnergyCorreu electrònic verificat a csiro.au
