Nariman Mahdavi

21 papers Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoB2G: A Large Language Model-Driven Agentic Framework For Automated Building-Grid Co-Simulation. CoRR Borui Zhang, Nariman Mahdavi, Subbu Sethuvenkatraman, Shuang Ao, Flora Salim
2025	—	`conf`	Adaptive digital twin for time-varying energy flexibility dynamics. ECC Seyed Shahabaldin Tohidi, Nariman Mahdavi, Tobias K. S. Ritschel, Henrik Madsen
2024	J	`jnl`	A New Definition of Demand Response in the Distributed Energy Resource Era. CoRR Johanna L. Mathieu, Gregor Verbic, Thomas Morstyn, Mads Almassalkhi, Kyri Baker, Julio H. Braslavsky, Kenneth Bruninx, Yury Dvorkin, Gregory S. Ledva, Nariman Mahdavi, Hrvoje Pandzic, Alessandra Parisio, Vedran Peric
2024	—	`conf`	Battery Scheduling Optimisation in Energy and Ancillary Services Markets: Quantifying Unrealised Revenue in the Australian NEM. e-Energy Sahand Karimi-Arpanahi, Ali Pourmousavi Kani, Nariman Mahdavi
2024	—	`conf`	Recent Trends in Demand-Side Flexibility. EI.A (2) Henrik Madsen, Seyed Shahabaldin Tohidi, Razgar Ebrahimy, Mohsen Banaei, Tobias K. S. Ritschel, Nariman Mahdavi
2023	—	`conf`	An automated data-driven platform for buildings simulation. BuildSys Vahid Aryai, Nariman Mahdavi, Samuel R. West, Gregor Henze
2023	J	`jnl`	Probabilistic Estimation of PV Generation at Customer and Distribution Feeder Levels Using Net-Demand Data. IEEE Trans. Smart Grid Nariman Mahdavi, Dilusha Weeraddana, Ying Guo
2023	J	`jnl`	Quantifying the predictability of renewable energy data for improving power systems decision-making. Patterns Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Nariman Mahdavi
2021	—	`conf`	Load Balancing in Low-Voltage Distribution Networks via Optimizing Residential Phase Connections. ISGT Asia Bin Liu, Frederik Geth, Nariman Mahdavi, Jiangxia Zhong
2020	J	`jnl`	Modelling and Control of Ensembles of Variable-Speed Air Conditioning Loads for Demand Response. IEEE Trans. Smart Grid Nariman Mahdavi, Julio H. Braslavsky
2018	J	`jnl`	Mapping the Effect of Ambient Temperature on the Power Demand of Populations of Air Conditioners. IEEE Trans. Smart Grid Nariman Mahdavi, Julio H. Braslavsky, Cristian Perfumo
2017	—	`conf`	Machine learning method for day classification to understand thermostatically controlled load demand. ISGT Asia Ying Guo, Nariman Mahdavi
2017	J	`jnl`	Model Predictive Control of Distributed Air-Conditioning Loads to Compensate Fluctuations in Solar Power. IEEE Trans. Smart Grid Nariman Mahdavi, Julio H. Braslavsky, María M. Seron, Samuel R. West
2017	—	`conf`	Quantifying maximum controllable energy demand in ensembles of air conditioning loads. CDC Nariman Mahdavi, Julio H. Braslavsky, Ruben Heersink
2016	—	`conf`	Model predictive control of distributed air-conditioning loads for mitigation of solar variability. AuCC Nariman Mahdavi, Julio H. Braslavsky, María M. Seron
2015	—	`conf`	Modelling the aggregate demand response of a population of air conditioners to changes in ambient temperature. CDC Nariman Mahdavi, Julio H. Braslavsky, Cristian Perfumo
2013	J	`jnl`	Fuzzy Complex Dynamical Networks and Its Synchronization. IEEE Trans. Cybern. Nariman Mahdavi, Mohammad Bagher Menhaj, Jürgen Kurths, Jianquan Lu
2012	J	`jnl`	Pinning impulsive Synchronization of Complex Dynamical Networks. Int. J. Bifurc. Chaos Nariman Mahdavi, Mohammad B. Menhaj, Jürgen Kurths, Jianquan Lu, Ahmad Afshar
2012	J	`jnl`	Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy. IEEE Trans. Neural Networks Learn. Syst. Jianquan Lu, Jürgen Kurths, Jinde Cao, Nariman Mahdavi, Chi Huang
2012	—	`conf`	Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning. ICONIP (2) Nariman Mahdavi, Jürgen Kurths
2009	—	`conf`	Effect of weighting parameters on dynamical behavior of Hopfield neural networks with logistic map activation functions. CICA Nariman Mahdavi, Mohammad Bagher Menhaj, Ahmad Afshar