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ORCIDMostafa Gilanifar
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2020 – today
- 2021
[j6]Mehdi Ganjkhani
, Mostafa Gilanifar, Jairo Giraldo, Masood Parvania:
Integrated Cyber and Physical Anomaly Location and Classification in Power Distribution Systems. IEEE Trans. Ind. Informatics 17(10): 7040-7049 (2021)- 2020
- [j5]Mostafa Gilanifar, Hui Wang, Eren Erman Ozguven, Yuxun Zhou, Reza Arghandeh:
Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data. ACM Trans. Cyber Phys. Syst. 4(1): 2:1-2:25 (2020) - [j4]Mostafa Gilanifar, Hui Wang, Lalitha Madhavi Konila Sriram, Eren Erman Ozguven, Reza Arghandeh:
Multitask Bayesian Spatiotemporal Gaussian Processes for Short-Term Load Forecasting. IEEE Trans. Ind. Electron. 67(6): 5132-5143 (2020) - [j3]Mostafa Gilanifar, Jose Cordova, Hui Wang, Matthias Stifter, Eren Erman Ozguven, Thomas I. Strasser, Reza Arghandeh:
Multi-Task Logistic Low-Ranked Dirty Model for Fault Detection in Power Distribution System. IEEE Trans. Smart Grid 11(1): 786-796 (2020) - [c2]Mostafa Gilanifar, Masood Parvania, Mohamad El Hariri:
Multi-Task Gaussian Process Learning for Energy Forecasting in IoT-Enabled Electric Vehicle Charging Infrastructure. WF-IoT 2020: 1-6
2010 – 2019
- 2019
- [j2]Jose Cordova, Carlos Soto, Mostafa Gilanifar, Yuxun Zhou, Anuj Srivastava, Reza Arghandeh:
Shape Preserving Incremental Learning for Power Systems Fault Detection. IEEE Control. Syst. Lett. 3(1): 85-90 (2019) - [j1]Lalitha Madhavi Konila Sriram, Mostafa Gilanifar, Yuxun Zhou, Eren Erman Ozguven, Reza Arghandeh:
Causal Markov Elman Network for Load Forecasting in Multinetwork Systems. IEEE Trans. Ind. Electron. 66(2): 1434-1442 (2019) - 2018
- [c1]Lalitha Madhavi Konila Madhavi, Mostafa Gilanifar, Yuxun Zhou, Eren Erman Ozguven, Reza Arghandeh:
Multivariate Deep Causal Network for Time Series Forecasting in Interdependent Networks. CDC 2018: 6476-6481
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