Mahdi Khodayar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Dictionary Learning

Scene Classification

Parameter Identification

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Smart Grid

Publications

Mohsen Saffari, Mahdi Khodayar
Spatiotemporal Deep Learning for Power System Applications: A Survey. IEEE Access 12 (2024)
Seyed Mohammad Jafar Jalali, Fateme Fahiman, Mahdi Khodayar
RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting. ECAI (2024)
Mohsen Saffari, Mahdi Khodayar
Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation. IEEE Trans. Ind. Informatics 20 (2) (2024)
Mahdi Khodayar, Ali Farajzadeh Bavil, Mohsen Saffari
Sparse Attention Graph Gated Recurrent Unit for Spatiotemporal Behind-The-Meter Load and PV Disaggregation. ECAI (2024)
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 (2023)
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) (2023)
Mahdi Khodayar, Jianhui Wang
Probabilistic Time-Varying Parameter Identification for Load Modeling: A Deep Generative Approach. IEEE Trans. Ind. Informatics 17 (3) (2021)
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) (2021)
Mohsen Saffari, Mahdi Khodayar, Mohammad Saeed Ebrahimi Saadabadi, Ana F. Sequeira, Jaime S. Cardoso
Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process. Sensors 21 (5) (2021)
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)
Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang
Energy Disaggregation via Deep Temporal Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
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) (2019)
Mahdi Khodayar, Jianhui Wang, Mohammad Manthouri
Interval Deep Generative Neural Network for Wind Speed Forecasting. IEEE Trans. Smart Grid 10 (4) (2019)
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 (2018)
Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang
Energy Disaggregation via Deep Temporal Dictionary Learning. CoRR (2018)
Mahdi Khodayar, Okyay Kaynak, Mohammad E. Khodayar
Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting. IEEE Trans. Ind. Informatics 13 (6) (2017)