Nariman Mahdavi Mazdeh

According to our database, Nariman Mahdavi Mazdeh authored at least 21 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A New Definition of Demand Response in the Distributed Energy Resource Era.

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

CoRR, 2024

Recent Trends in Demand-Side Flexibility.

Henrik Madsen, Seyed Shahabaldin Tohidi, Razgar Ebrahimy, Mohsen Banaei, Tobias K. S. Ritschel, Nariman Mahdavi

Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024

2023

Probabilistic Estimation of PV Generation at Customer and Distribution Feeder Levels Using Net-Demand Data.

Nariman Mahdavi, Dilusha Weeraddana, Ying Guo

IEEE Trans. Smart Grid, May, 2023

Quantifying the predictability of renewable energy data for improving power systems decision-making.

Sahand Karimi-Arpanahi, S. Ali Pourmousavi, Nariman Mahdavi

Patterns, April, 2023

An automated data-driven platform for buildings simulation.

Vahid Aryai, Nariman Mahdavi, Samuel R. West, Gregor Henze

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

2021

Load Balancing in Low-Voltage Distribution Networks via Optimizing Residential Phase Connections.

Bin Liu, Frederik Geth, Nariman Mahdavi, Jiangxia Zhong

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

2020

Modelling and Control of Ensembles of Variable-Speed Air Conditioning Loads for Demand Response.

Nariman Mahdavi, Julio H. Braslavsky

IEEE Trans. Smart Grid, 2020

2018

Mapping the Effect of Ambient Temperature on the Power Demand of Populations of Air Conditioners.

Nariman Mahdavi, Julio H. Braslavsky, Cristian Perfumo

IEEE Trans. Smart Grid, 2018

2017

Model Predictive Control of Distributed Air-Conditioning Loads to Compensate Fluctuations in Solar Power.

Nariman Mahdavi, Julio H. Braslavsky, María M. Seron, Samuel R. West

IEEE Trans. Smart Grid, 2017

Machine learning method for day classification to understand thermostatically controlled load demand.

Ying Guo, Nariman Mahdavi

Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017

Quantifying maximum controllable energy demand in ensembles of air conditioning loads.

Nariman Mahdavi, Julio H. Braslavsky, Ruben Heersink

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Model predictive control of distributed air-conditioning loads for mitigation of solar variability.

Nariman Mahdavi, Julio H. Braslavsky, María M. Seron

Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015

Modelling the aggregate demand response of a population of air conditioners to changes in ambient temperature.

Nariman Mahdavi, Julio H. Braslavsky, Cristian Perfumo

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2013

Fuzzy Complex Dynamical Networks and Its Synchronization.

Nariman Mahdavi, Mohammad Bagher Menhaj, Jürgen Kurths, Jianquan Lu

IEEE Trans. Cybern., 2013

2012

Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy.

Jianquan Lu, Jürgen Kurths, Jinde Cao, Nariman Mahdavi, Chi Huang

IEEE Trans. Neural Networks Learn. Syst., 2012

Pinning impulsive Synchronization of Complex Dynamical Networks.

Nariman Mahdavi, Mohammad B. Menhaj, Jürgen Kurths, Jianquan Lu, Ahmad Afshar

Int. J. Bifurc. Chaos, 2012

Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning.

Nariman Mahdavi, Jürgen Kurths

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2010

Possibility of synchronization in Hopfield like Chaotic Neural Networks with just adding a single neuron.

Nariman Mahdavi Mazdeh, Mohammad Bagher Menhaj, Ahmad Afshar

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A Novel Robust Impulsive Chaos Synchronization Approach for Uncertain Complex Dynamical Networks.

Nariman Mahdavi Mazdeh, Mohammad Bagher Menhaj, Heidar Ali Talebi

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009

Effect of weighting parameters on dynamical behavior of Hopfield neural networks with logistic map activation functions.

Nariman Mahdavi, Mohammad Bagher Menhaj, Ahmad Afshar

Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Control and Automation, 2009

2008

A variable structure neural network model for mid-term load forecasting of Iran national power system.

Nariman Mahdavi Mazdeh, Aliakbar A. Gorji, Mohammad Bagher Menhaj, Saeedeh Barghinia

Proceedings of the International Joint Conference on Neural Networks, 2008