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2020 – today
- 2024
[j7]Mukesh Gautam
, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani:
Enabling Active Distribution Systems' Participation in Tertiary Frequency Regulation Through Coalitional Game Theory-Based Reserve Allocation. IEEE Access 12: 5222-5236 (2024)- 2023
- [j6]Mohammad MansourLakouraj, Mukesh Gautam, Hanif Livani, Mohammed Benidris:
Multi-Stage Volt/VAR Support in Distribution Grids: Risk-Aware Scheduling With Real-Time Reinforcement Learning Control. IEEE Access 11: 54822-54838 (2023) - [j5]Hadis Hosseinpour, Mohammad MansourLakouraj, Mohammed Benidris, Hanif Livani:
Large-Signal Stability Analysis of Inverter-Based AC Microgrids: A Critical and Analytical Review. IEEE Access 11: 111466-111491 (2023) - [j4]Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang:
Robust Event Classification Using Imperfect Real-World PMU Data. IEEE Internet Things J. 10(9, May 1): 7429-7438 (2023) - [c16]Rakib Hossain, Mukesh Gautam, Mohammad MansourLakouraj, Hanif Livani, Mohammed Benidris:
Voltage Control in Distribution Grids Using Topology Aware Deep Reinforcement Learning. IAS 2023: 1-7 - [c15]Hadis Hosseinpour, Mohammad MansourLakouraj, Mohammed Benidris, Hanif Livani:
Volt/VAR Regulation-Oriented Reliability Assessment in Distribution Systems. IAS 2023: 1-7 - [c14]Mohammad MansourLakouraj, Hadis Hosseinpour, Hanif Livani, Mohammed Benidris:
Grid-Aware Waveform Analytics for Event Classification in Distribution Grids. IAS 2023: 1-6 - [c13]Joshua Olowolaju, Jitendra Thapa, Rakib Hossain, Mohammed Benidris, Hanif Livani:
A GPU-Based Model for Composite Power System Reliability Evaluation and Sensitivity Analysis. IAS 2023: 1-5 - [c12]Jitendra Thapa, Joshua Olowolaju, Hanif Livani, Mohammed Benidris:
Composite Power System Reliability Assessment Considering Uncertainty of Electric Vehicle Charging and PV Power Generation. IAS 2023: 1-7 - [c11]Muhammad F. Umar, Mohsen Hosseinzadehtaher, Mohammad B. Shadmand, Hanif Livani, Mohammed Benidris:
A Corrective Scheme to Prevent Adverse Dynamic Interaction of Grid-forming Inverters. ISGT 2023: 1-5 - [i10]Ramkrishna Mishan, Matthew Egan, Mohammed Ben-Idris, Hanif Livani:
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid. CoRR abs/2304.12302 (2023) - [i9]Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani:
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach. CoRR abs/2305.01176 (2023) - [i8]Mukesh Gautam, Rakib Hossain, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani:
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation. CoRR abs/2305.04163 (2023) - 2022
- [c10]Mukesh Gautam, Michael Abdelmalak, Mohammad MansourLakouraj, Mohammed Benidris, Hanif Livani:
Reconfiguration of Distribution Networks for Resilience Enhancement: A Deep Reinforcement Learning-based Approach. IAS 2022: 1-6 - [c9]Mohammad MansourLakouraj, Mukesh Gautam, Rakib Hossain, Hanif Livani, Mohammed Benidris, Sesh Commuri:
Event Classification in Active Distribution Grids Using Physics-Informed Graph Neural Network and PMU Measurements. IAS 2022: 1-6 - [c8]Ramkrishna Mishan, Matthew Egan, Mohammed Benidris, Hanif Livani:
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid. IAS 2022: 1-8 - [c7]Jitendra Thapa, Matthew Egan, Michael Abdelmalak, Mohammed Benidris, Hanif Livani:
High-precision Transient Stability Assessment Using Convolution Neural Network. IAS 2022: 1-7 - [c6]Mukesh Gautam, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani:
Allocating Reserves in Active Distribution Systems for Tertiary Frequency Regulation. ISGT 2022: 1-5 - [c5]Rakib Hossain, Mukesh Gautam, Mohammad MansourLakouraj, Hanif Livani, Mohammed Benidris:
Volt-VAR Optimization in Distribution Networks Using Twin Delayed Deep Reinforcement Learning. ISGT 2022: 1-5 - 2021
- [j3]Amir Ghasemkhani, Iman Niazazari, Yunchuan Liu, Hanif Livani, Virgilio A. Centeno, Lei Yang:
A Regularized Tensor Completion Approach for PMU Data Recovery. IEEE Trans. Smart Grid 12(2): 1519-1528 (2021) - [c4]Iman Niazazari, Yunchuan Liu, Amir Ghasenikhani, Shuchismita Biswas, Hanif Livani, Lei Yang, Virgilio A. Centeno:
PMU-data-driven Event Classification in Power Transmission Grids. ISGT 2021: 1-5 - [c3]Mohammad MansourLakouraj, Mukesh Gautam, Hanif Livani, Mohammed Benidris, Poria Fajri:
Multi-Timescale Risk-Constrained Volt/VAR Control of Distribution Grids with Electric Vehicles and Solar Inverters. ISGT-Europe 2021: 1-6 - [i7]Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang:
Robust Event Classification Using Imperfect Real-world PMU Data. CoRR abs/2110.10128 (2021) - 2020
- [c2]Amir Ghasemkhani, Atena Darvishi, Iman Niazazari, Azita Darvishi, Hanif Livani, Lei Yang:
DeepGrid: Robust Deep Reinforcement Learning-based Contingency Management. ISGT 2020: 1-5 - [c1]Iman Niazazari, Hanif Livani:
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach. ISGT 2020: 1-5 - [i6]Iman Niazazari, Amir Ghasemkhani, Yunchuan Liu, Shuchismita Biswas, Hanif Livani, Lei Yang, Virgilio Centeno:
Deep Neural Network based Wide-Area Event Classification in Power Systems. CoRR abs/2008.10151 (2020) - [i5]Iman Niazazari, Hanif Livani, Amir Ghasemkhani, Yunchuan Liu, Lei Yang:
Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements. CoRR abs/2008.11582 (2020)
2010 – 2019
- 2019
- [j2]Mohammad Jafari, Amir Ghasemkhani, Vahid Sarfi, Hanif Livani, Lei Yang, Hao Xu:
Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections. IET Cyper-Phys. Syst.: Theory & Appl. 4(4): 341-352 (2019) - [i4]Iman Niazazari, Reza Jalilzadeh Hamidi, Hanif Livani, Reza Arghandeh:
Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning. CoRR abs/1903.04486 (2019) - [i3]Mohammad Jafari, Vahid Sarfi, Amir Ghasemkhani, Hanif Livani, Lei Yang, Hao Xu:
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. CoRR abs/1905.00557 (2019) - [i2]Iman Niazazari, Hanif Livani:
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach. CoRR abs/1911.08011 (2019) - 2017
- [i1]Iman Niazazari, Hanif Livani:
Disruptive Event Classification using PMU Data in Distribution Networks. CoRR abs/1703.09800 (2017) - 2014
- [j1]Hanif Livani, C. Yaman Evrenosoglu:
A Machine Learning and Wavelet-Based Fault Location Method for Hybrid Transmission Lines. IEEE Trans. Smart Grid 5(1): 51-59 (2014)
Coauthor Index
aka: Mohammed Ben-Idris
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