Mahdi Khodayar

According to our database, Mahdi Khodayar authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., October, 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., October, 2024

Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation.

Mohsen Saffari, Mahdi Khodayar

IEEE Trans. Ind. Informatics, February, 2024

Spatiotemporal Deep Learning for Power System Applications: A Survey.

Mohsen Saffari, Mahdi Khodayar

IEEE Access, 2024

Sparse Attention Graph Gated Recurrent Unit for Spatiotemporal Behind-The-Meter Load and PV Disaggregation.

Mahdi Khodayar, Ali Farajzadeh Bavil, Mohsen Saffari

Proceedings of the 16th International Conference on Electronics, 2024

RLIDT: A Novel Reinforcement Learning-Infused Deep Transformer Model for Multivariate Electricity Load Forecasting.

Seyed Mohammad Jafar Jalali, Fateme Fahiman, Mahdi Khodayar

Proceedings of the 16th International Conference on Electronics, 2024

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., December, 2023

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., August, 2023

2021

Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning.

Mahdi Khodayar, Guangyi Liu, Jianhui Wang, Okyay Kaynak, Mohammad E. Khodayar

IEEE Trans. Neural Networks Learn. Syst., 2021

Probabilistic Time-Varying Parameter Identification for Load Modeling: A Deep Generative Approach.

Mahdi Khodayar, Jianhui Wang

IEEE Trans. Ind. Informatics, 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

Sensors, 2021

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, João P. S. Catalão

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020

Energy Disaggregation via Deep Temporal Dictionary Learning.

Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang

IEEE Trans. Neural Networks Learn. Syst., 2020

2019

Interval Deep Generative Neural Network for Wind Speed Forecasting.

Mahdi Khodayar, Jianhui Wang, Mohammad Manthouri

IEEE Trans. Smart Grid, 2019

Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling.

Mingjian Cui, Mahdi Khodayar, Chen Chen, Xinan Wang, Ying Zhang, Mohammad E. Khodayar

IEEE Trans. Smart Grid, 2019

2018

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, Guangyi Liu

CoRR, 2018

2017

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting.

Mahdi Khodayar, Okyay Kaynak, Mohammad E. Khodayar

IEEE Trans. Ind. Informatics, 2017