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ORCIDNastaran Gholizadeh
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2020 – today
- 2024
[d2]Nastaran Gholizadeh:
33 and 136-bus test system data and Code for explainable reinforcement learning. IEEE DataPort, 2024
- 2023
- [j5]Nastaran Gholizadeh
, Nazli Kazemi, Petr Musilek:
A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration With Deep Q-Learning-Based Action Sampling. IEEE Access 11: 13714-13723 (2023) - [d1]Nastaran Gholizadeh:
33-, 119-, and 136-bus system data for reinforcement learning-based distribution network reconfiguration. IEEE DataPort, 2023 - 2022
- [j4]Nastaran Gholizadeh, Petr Musílek:
Federated learning with hyperparameter-based clustering for electrical load forecasting. Internet Things 17: 100470 (2022) - [j3]Nastaran Gholizadeh, Seyed Hossein Hosseinian, Mehrdad Abedi, Hamed Nafisi, Pierluigi Siano:
Optimal placement of fuses and switches in active distribution networks using value-based MINLP. Reliab. Eng. Syst. Saf. 217: 108075 (2022) - [j2]Nazli Kazemi, Nastaran Gholizadeh, Petr Musílek:
Selective Microwave Zeroth-Order Resonator Sensor Aided by Machine Learning. Sensors 22(14): 5362 (2022) - [j1]Nastaran Gholizadeh, Mehrdad Abedi, Hamed Nafisi, Mousa Marzband, Abdolah Loni, Ghanim Putrus:
Fair-Optimal Bilevel Transactive Energy Management for Community of Microgrids. IEEE Syst. J. 16(2): 2125-2135 (2022) - 2021
- [i1]Nastaran Gholizadeh, Petr Musílek:
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting. CoRR abs/2111.07462 (2021)
Coauthor Index
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