Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting. - Mahdi Khodayar; Okyay Kaynak; Mohammad E. Khodayar (IEEE Trans. Ind. Informatics, 2017)

Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting. - Mahdi Khodayar; Saeed Mohammadi; Mohammad E. Khodayar; Jianhui Wang 001; Guangyi Liu 002 (CoRR, 2018)

Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling. - Mingjian Cui; Mahdi Khodayar; Chen Chen 007; Xinan Wang; Ying Zhang 039; Mohammad E. Khodayar (IEEE Trans. Smart Grid, 2019)

Interval Deep Generative Neural Network for Wind Speed Forecasting. - Mahdi Khodayar; Jianhui Wang 001; Mohammad Manthouri (IEEE Trans. Smart Grid, 2019)

Energy Disaggregation via Deep Temporal Dictionary Learning. - Mahdi Khodayar; Jianhui Wang 001; Zhaoyu Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction. - Seyed Mohammad Jafar Jalali; Mahdi Khodayar; Sajad Ahmadian; Md Kislu Noman; Abbas Khosravi; Syed Mohammed Shamsul Islam; Fei Wang 020; João P. S. Catalão (IAS, 2021)

Maximum Relevance Minimum Redundancy Dropout with Informative Kernel Determinantal Point Process. - Mohsen Saffari; Mahdi Khodayar; Mohammad Saeed Ebrahimi Saadabadi; Ana Filipa Sequeira; Jaime S. Cardoso 001 (Sensors, 2021)

Probabilistic Time-Varying Parameter Identification for Load Modeling: A Deep Generative Approach. - Mahdi Khodayar; Jianhui Wang 001 (IEEE Trans. Ind. Informatics, 2021)

Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning. - Mahdi Khodayar; Guangyi Liu 002; Jianhui Wang 001; Okyay Kaynak; Mohammad E. Khodayar (IEEE Trans. Neural Networks Learn. Syst., 2021)

Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification. - Mohsen Saffari; Mahdi Khodayar; Seyed Mohammad Jafar Jalali (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

A triplet graph convolutional network with attention and similarity-driven dictionary learning for remote sensing image retrieval. - Jacob Regan; Mahdi Khodayar (Expert Syst. Appl., 2023)

RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting. - Seyed Mohammad Jafar Jalali; Fateme Fahiman; Mahdi Khodayar (ECAI, 2024)

Sparse Attention Graph Gated Recurrent Unit for Spatiotemporal Behind-The-Meter Load and PV Disaggregation. - Mahdi Khodayar; Ali Farajzadeh Bavil; Mohsen Saffari (ECAI, 2024)

Spatiotemporal Deep Learning for Power System Applications: A Survey. - Mohsen Saffari; Mahdi Khodayar (IEEE Access, 2024)

Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation. - Mohsen Saffari; Mahdi Khodayar (IEEE Trans. Ind. Informatics, 2024)

Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow. - Mohsen Saffari; Mahdi Khodayar; Mohammad E. Khodayar (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Behind-the-Meter Load and PV Disaggregation via Deep Spatiotemporal Graph Generative Sparse Coding With Capsule Network. - Mohsen Saffari; Mahdi Khodayar; Mohammad E. Khodayar; Mohammad Shahidehpour (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Learning for Traffic Scene Understanding: A Review. - Parya Dolatyabi; Jacob Regan; Mahdi Khodayar (IEEE Access, 2025)

FGRMNet: Fully graph relational matching network for few-shot remote sensing scene classification. - Jacob Regan; Mahdi Khodayar (Expert Syst. Appl., 2025)

Dynamic Graph Variational Sparse Coding for Power Distribution Network Fault Location and Classification. - Mahdi Khodayar; Mohammad E. Khodayar (IEEE Trans. Ind. Informatics, 2025)

Deep Graph Convolutional Autoencoder With Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location. - Mohsen Saffari; Mahdi Khodayar; Mohammad E. Khodayar; Seyed Saeed Fazlhashemi (IEEE Trans. Artif. Intell., 2025)