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ORCIDMahdi Khodayar
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2020 – today
- 2024
[j13]Mohsen Saffari
, Mahdi Khodayar:
Spatiotemporal Deep Learning for Power System Applications: A Survey. IEEE Access 12: 93623-93657 (2024)- [j12]Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar:
Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3382-3395 (2024) - [j11]Mohsen Saffari, Mahdi Khodayar:
Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation. IEEE Trans. Ind. Informatics 20(2): 2564-2576 (2024) - [j10]Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar, Mohammad Shahidehpour:
Behind-the-Meter Load and PV Disaggregation via Deep Spatiotemporal Graph Generative Sparse Coding With Capsule Network. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14573-14587 (2024) - [c3]Seyed Mohammad Jafar Jalali, Fateme Fahiman, Mahdi Khodayar:
RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting. ECAI 2024: 1-5 - [c2]Mahdi Khodayar, Ali Farajzadeh Bavil, Mohsen Saffari:
Sparse Attention Graph Gated Recurrent Unit for Spatiotemporal Behind-The-Meter Load and PV Disaggregation. ECAI 2024: 1-6 - 2023
- [j9]Jacob Regan, Mahdi Khodayar:
A triplet graph convolutional network with attention and similarity-driven dictionary learning for remote sensing image retrieval. Expert Syst. Appl. 232: 120579 (2023) - [j8]Mohsen Saffari, Mahdi Khodayar, Seyed Mohammad Jafar Jalali:
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1139-1150 (2023) - 2021
- [j7]Mohsen Saffari, Mahdi Khodayar, Mohammad Saeed Ebrahimi Saadabadi, Ana Filipa Sequeira, Jaime S. Cardoso:
Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process. Sensors 21(5): 1846 (2021) - [j6]Mahdi Khodayar, Jianhui Wang:
Probabilistic Time-Varying Parameter Identification for Load Modeling: A Deep Generative Approach. IEEE Trans. Ind. Informatics 17(3): 1625-1636 (2021) - [j5]Mahdi Khodayar, Guangyi Liu, Jianhui Wang, Okyay Kaynak, Mohammad E. Khodayar:
Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4713-4727 (2021) - [c1]Seyed Mohammad Jafar Jalali, Mahdi Khodayar, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Syed Mohammed Shamsul Islam, Fei Wang, João P. S. Catalão:
A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. IAS 2021: 1-6 - 2020
- [j4]Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang:
Energy Disaggregation via Deep Temporal Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1696-1709 (2020)
2010 – 2019
- 2019
- [j3]Mahdi Khodayar, Jianhui Wang, Mohammad Manthouri:
Interval Deep Generative Neural Network for Wind Speed Forecasting. IEEE Trans. Smart Grid 10(4): 3974-3989 (2019) - [j2]Mingjian Cui, Mahdi Khodayar, Chen Chen, Xinan Wang, Ying Zhang, Mohammad E. Khodayar:
Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling. IEEE Trans. Smart Grid 10(6): 6102-6114 (2019) - 2018
- [i2]Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang:
Energy Disaggregation via Deep Temporal Dictionary Learning. CoRR abs/1809.03534 (2018) - [i1]Mahdi Khodayar, Saeed Mohammadi, Mohammad E. Khodayar, Jianhui Wang, Guangyi Liu:
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting. CoRR abs/1809.03538 (2018) - 2017
- [j1]Mahdi Khodayar, Okyay Kaynak, Mohammad E. Khodayar:
Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting. IEEE Trans. Ind. Informatics 13(6): 2770-2779 (2017)
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