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Nariman Mahdavi Mazdeh
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Journal Articles
- 2023
- [j9]Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Nariman Mahdavi:
Quantifying the predictability of renewable energy data for improving power systems decision-making. Patterns 4(4): 100708 (2023) - [j8]Nariman Mahdavi, Dilusha Weeraddana, Ying Guo:
Probabilistic Estimation of PV Generation at Customer and Distribution Feeder Levels Using Net-Demand Data. IEEE Trans. Smart Grid 14(3): 1974-1984 (2023) - 2020
- [j7]Nariman Mahdavi, Julio H. Braslavsky:
Modelling and Control of Ensembles of Variable-Speed Air Conditioning Loads for Demand Response. IEEE Trans. Smart Grid 11(5): 4249-4260 (2020) - 2018
- [j6]Nariman Mahdavi, Julio H. Braslavsky, Cristian Perfumo:
Mapping the Effect of Ambient Temperature on the Power Demand of Populations of Air Conditioners. IEEE Trans. Smart Grid 9(3): 1540-1550 (2018) - 2017
- [j5]Nariman Mahdavi, Julio H. Braslavsky, María M. Seron, Samuel R. West:
Model Predictive Control of Distributed Air-Conditioning Loads to Compensate Fluctuations in Solar Power. IEEE Trans. Smart Grid 8(6): 3055-3065 (2017) - 2013
- [j4]Nariman Mahdavi, Mohammad Bagher Menhaj, Jürgen Kurths, Jianquan Lu:
Fuzzy Complex Dynamical Networks and Its Synchronization. IEEE Trans. Cybern. 43(2): 648-659 (2013) - 2012
- [j3]Nariman Mahdavi, Mohammad B. Menhaj, Jürgen Kurths, Jianquan Lu, Ahmad Afshar:
Pinning impulsive Synchronization of Complex Dynamical Networks. Int. J. Bifurc. Chaos 22(10) (2012) - [j2]Jianquan Lu, Jürgen Kurths, Jinde Cao, Nariman Mahdavi, Chi Huang:
Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy. IEEE Trans. Neural Networks Learn. Syst. 23(2): 285-292 (2012) - 2009
- [j1]Nariman Mahdavi Mazdeh, Mohammad Bagher Menhaj, Heidar Ali Talebi:
A Novel Robust Impulsive Chaos Synchronization Approach for Uncertain Complex Dynamical Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(10): 2499-2507 (2009)
Conference and Workshop Papers
- 2024
- [c11]Henrik Madsen, Seyed Shahabaldin Tohidi, Razgar Ebrahimy, Mohsen Banaei, Tobias K. S. Ritschel, Nariman Mahdavi:
Recent Trends in Demand-Side Flexibility. EI.A (2) 2024: 167-184 - 2023
- [c10]Vahid Aryai, Nariman Mahdavi, Samuel R. West, Gregor Henze:
An automated data-driven platform for buildings simulation. BuildSys@SenSys 2023: 61-68 - 2021
- [c9]Bin Liu, Frederik Geth, Nariman Mahdavi, Jiangxia Zhong:
Load Balancing in Low-Voltage Distribution Networks via Optimizing Residential Phase Connections. ISGT Asia 2021: 1-5 - 2017
- [c8]Nariman Mahdavi, Julio H. Braslavsky, Ruben Heersink:
Quantifying maximum controllable energy demand in ensembles of air conditioning loads. CDC 2017: 1407-1412 - [c7]Ying Guo, Nariman Mahdavi:
Machine learning method for day classification to understand thermostatically controlled load demand. ISGT Asia 2017: 1-5 - 2016
- [c6]Nariman Mahdavi, Julio H. Braslavsky, María M. Seron:
Model predictive control of distributed air-conditioning loads for mitigation of solar variability. AuCC 2016: 162-167 - 2015
- [c5]Nariman Mahdavi, Julio H. Braslavsky, Cristian Perfumo:
Modelling the aggregate demand response of a population of air conditioners to changes in ambient temperature. CDC 2015: 3248-3253 - 2012
- [c4]Nariman Mahdavi, Jürgen Kurths:
Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning. ICONIP (2) 2012: 117-124 - 2010
- [c3]Nariman Mahdavi Mazdeh, Mohammad Bagher Menhaj, Ahmad Afshar:
Possibility of synchronization in Hopfield like Chaotic Neural Networks with just adding a single neuron. IJCNN 2010: 1-5 - 2009
- [c2]Nariman Mahdavi, Mohammad Bagher Menhaj, Ahmad Afshar:
Effect of weighting parameters on dynamical behavior of Hopfield neural networks with logistic map activation functions. CICA 2009: 57-61 - 2008
- [c1]Nariman Mahdavi Mazdeh, Aliakbar A. Gorji, Mohammad Bagher Menhaj, Saeedeh Barghinia:
A variable structure neural network model for mid-term load forecasting of Iran national power system. IJCNN 2008: 2572-2579
Coauthor Index
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