| Federated learning with hyperparameter-based clustering for electrical load forecasting N Gholizadeh, P Musilek Internet of Things 17, 100470, 2022 | 84 | 2022 |
| Enhancement of demand supply’s security using power to gas technology in networked energy hubs N Gholizadeh, MJ Vahid-Pakdel, B Mohammadi-Ivatloo International Journal of Electrical Power & Energy Systems 109, 83-94, 2019 | 58 | 2019 |
| Fair-optimal bilevel transactive energy management for community of microgrids N Gholizadeh, M Abedi, H Nafisi, M Marzband, A Loni, GA Putrus IEEE Systems Journal 16 (2), 2125-2135, 2021 | 38 | 2021 |
| An innovative energy management framework for cooperative operation management of electricity and natural gas demands N Gholizadeh, GB Gharehpetian, M Abedi, H Nafisi, M Marzband Energy Conversion and Management 200, 112069, 2019 | 29 | 2019 |
| A comparative study of reinforcement learning algorithms for distribution network reconfiguration with deep Q-learning-based action sampling N Gholizadeh, N Kazemi, P Musilek IEEE Access 11, 13714-13723, 2023 | 27 | 2023 |
| Optimal placement of fuses and switches in active distribution networks using value-based MINLP N Gholizadeh, SH Hosseinian, M Abedi, H Nafisi, P Siano Reliability Engineering & System Safety 217, 108075, 2022 | 25 | 2022 |
| Distributed learning applications in power systems: A review of methods, gaps, and challenges N Gholizadeh, P Musilek Energies 14 (12), 3654, 2021 | 18 | 2021 |
| Selective microwave zeroth-order resonator sensor aided by machine learning N Kazemi, N Gholizadeh, P Musilek Sensors 22 (14), 5362, 2022 | 17 | 2022 |
| Ultra-wideband electromagnetic detection of biological cells N Gholizadeh, X Ma, H Li, X Du, Y Ning, V Gholizadeh, X Cheng, ... 2017 89th ARFTG Microwave Measurement Conference (ARFTG), 1-4, 2017 | 6 | 2017 |
| Explainable reinforcement learning for distribution network reconfiguration N Gholizadeh, P Musilek Energy Reports 11, 5703-5715, 2024 | 4 | 2024 |
| One resistor and two capacitors: An electrical engineer's simple view of a biological cell X Ma, X Du, N Gholizadeh, V Gholizadeh, H Li, X Cheng, JCM Hwang 2017 IEEE MTT-S International Microwave Workshop Series on Advanced …, 2017 | 3 | 2017 |
| Optimization of Day Ahead Distributed Intelligent Decision-Making for a Multi-Microgrid System N Gholizadeh, M Abedi, H Nafisi, H Askarian-Abyaneh, M Marzband 2018 Smart Grid Conference (SGC), 1-6, 2019 | 2 | 2019 |
| A Generalized Deep Reinforcement Learning Model for Distribution Network Reconfiguration with Power Flow-Based Action-Space Sampling N Gholizadeh, P Musilek Energies 17 (20), 5187, 2024 | 1 | 2024 |
| Daily electric vehicle charging dataset for training reinforcement learning algorithms N Gholizadeh, P Musilek Data in Brief, 110587, 2024 | 1 | 2024 |
| Learning-Based Energy Management System for Scheduling of Appliances inside Smart Homes N Gholizadeh, M Abedi, H Nafisi, M Marzband AUT Journal of Electrical Engineering, 2019 | 1 | 2019 |
| Reinforcement Learning For Adaptive Distribution Network Reconfiguration N Gholizadeh | | 2024 |
| Increasing EV Integration with Reinforcement Learning and Distribution Network Reconfiguration N Gholizadeh, P Musilek | | |
Petr MusilekProfessor of Electrical and Computer Engineering, University of AlbertaΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ualberta.ca