A Data-Driven Load Shedding Method Based on Generative Adversarial Networks Considering Missing Data and Unlearned Fault

Authors: Pourmoradi, Nazanin, Azad, Sasan, Ameli, Mohammad Taghi

Source: 2024 4th International Conference on Electrical Machines and Drives (ICEMD) Electrical Machines and Drives (ICEMD), 2024 4th International Conference on. :1-8 Dec, 2024

Relation: 2024 4th International Conference on Electrical Machines and Drives (ICEMD)

A transfer learning based CNN for dynamic security assessment with small datasets and unknown data

Authors: Azad, Sasan, Pourmoradi, Nazanin, Ameli, Mohammad Taghi

Source: 2024 4th International Conference on Electrical Machines and Drives (ICEMD) Electrical Machines and Drives (ICEMD), 2024 4th International Conference on. :1-8 Dec, 2024

Relation: 2024 4th International Conference on Electrical Machines and Drives (ICEMD)

An imbalanced deep learning framework for pre-fault flexible multi-zone dynamic security assessment via transfer learning based graph convolutional network

Authors: Azad, Sasan, Ameli, Mohammad Taghi ^⁎

Source: In Results in Engineering March 2025 25

Resilient energy management incorporating energy storage system and network reconfiguration: A framework of cyber‐physical system

Authors: Jalilpoor, Kamran, Ameli, Mohammad Taghi, Azad, Sasan, Sayadi, Zahra

Source: IET generation, transmission & distribution. 17(8):1734-1749

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100182102460.0x000001&indx=1&recIds=ETOCvdc_100182102460.0x000001

Smart Short-Term Load Forecasting through Coordination of LSTM-Based Models and Feature Engineering Methods during the COVID-19 Pandemic

Authors: Shobeiry, Seyed Mohammad, Azad, Sasan, Ameli, Mohammad Taghi

Source: Electric power components and systems. 51(2):171-187

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100173626888.0x000001&indx=1&recIds=ETOCvdc_100173626888.0x000001

Data-driven power system security assessment using high content database during the COVID-19 pandemic

Authors: Mollaiee, Ali, Taghi Ameli, Mohammad, Azad, Sasan, Nazari-Heris, Morteza, Asadi, Somayeh

Source: In International Journal of Electrical Power and Energy Systems August 2023 150

Optimal routing and power management of electric vehicles in coupled power distribution and transportation systems

Authors: Aghajan-Eshkevari, Saleh, Ameli, Mohammad Taghi, Azad, Sasan

Source: In Applied Energy 1 July 2023 341

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

Authors: Mollaiee, Ali, Ameli, Mohammad Taghi, Azad, Sasan

Source: IET generation, transmission & distribution. 16(18):3684-3705

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100175746318.0x000001&indx=1&recIds=ETOCvdc_100175746318.0x000001

A real-time hierarchical framework for fault detection, classification, and location in power systems using PMUs data and deep learning

Authors: Shadi, Mohammad Reza, Ameli, Mohammad-Taghi, Azad, Sasan

Source: In International Journal of Electrical Power and Energy Systems January 2022 134

A domain adaptation‐based convolutional neural network incorporating data augmentation for power system dynamic security assessment.

Authors: Azad, Sasan, Ameli, Mohammad Taghi

Source: Journal of Engineering; Jul2024, Vol. 2024 Issue 7, p1-17, 17p

Subject Terms: CONVOLUTIONAL neural networks, DATA augmentation, DEEP learning, ARTIFICIAL intelligence, ACQUISITION of data

Chapter 5 - Distribution systems operation and planning: A literature review on smart resilience enhancement strategies

Authors: Paeizi, Ali, Ameli, Mohammad Taghi, Azad, Sasan

Source: In Future Modern Distribution Networks Resilience 2024:111-139

Chapter 1 - Introduction and literature review of resilience concept in power systems

Authors: Rahmani-Sane, Ghazal, Azad, Sasan, Jalilpoor, Kamran, Ameli, Mohammad Taghi

Source: In Future Modern Distribution Networks Resilience 2024:1-21

Chapter 13 - Optimal mobile-DG-aided restoration scheduling to enhance resilience in power distribution systems

Authors: Jalilian, Ali, Tavakoli, Mohsen, Amiri, Mohammad Mehdi, Azad, Sasan, Ameli, Mohammad Taghi, Nazari-Heris, Morteza

Source: In Future Modern Distribution Networks Resilience 2024:303-327

Chapter 7 - Assessing the economic viability of resilience upgrades in power systems: A cost–benefit analysis approach

Authors: Siavash-Abkenari, Nazanin, Azad, Sasan, Jalilpoor, Kamran, Nazari-Heris, Morteza

Source: In Future Modern Distribution Networks Resilience 2024:171-193

Chapter 4 - A survey on the role of integrated electricity and gas systems for enhancing the resilience

Authors: Sharifpour, Masoumeh, Azad, Sasan, Ameli, Mohammad Taghi

Source: In Future Modern Distribution Networks Resilience 2024:91-109

Chapter 10 - Resilience improvement of distribution systems against hurricanes through optimal line hardening

Authors: Pashiri, Navid Talaei, Ameli, Mohammad Taghi, Azad, Sasan, Aghajan-Eshkevari, Saleh

Source: In Future Modern Distribution Networks Resilience 2024:239-258

Chapter 3 - Resilience vs. reliability metrics in power systems: A conceptual overview

Authors: Aryanfar, Mohammad, Fotuhi-Firuzabad, Mahmud, Azad, Sasan, Dehghanian, Payman, Peyghami, Saeed

Source: In Future Modern Distribution Networks Resilience 2024:67-90

Chapter 15 - Resilience enhancement of distribution networks by optimal scheduling of hydrogen systems

Authors: Aghajan-Eshkevari, Saleh, Ameli, Mohammad Taghi, Azad, Sasan, Pashiri, Navid Talaei

Source: In Future Modern Distribution Networks Resilience 2024:353-374

Distribution system resilience improvement against hurricanes: optimal line hardening according to reconfiguration potentials.

Authors: Pashiri, Navid Talaei, Azad, Sasan, Ameli, Mohammad Taghi

Source: Journal of Engineering; Mar2024, Vol. 2024 Issue 3, p1-13, 13p

Subject Terms: HURRICANES, GLOBAL warming, NATURAL disasters, MONTE Carlo method, HARDENING (Heat treatment)

6 - Data science leverage and big data analysis for Internet of Things energy systems

Authors: Behnam, Arman, Azad, Sasan, Daneshvar, Mohammadreza, Anvari-Moghaddam, Amjad, Marzband, Mousa

Source: In IoT Enabled Multi-Energy Systems 2023:87-109