Multivariate Deep Causal Network for Time Series Forecasting in Interdependent Networks. - Lalitha Madhavi Konila Madhavi; Mostafa Gilanifar; Yuxun Zhou; Eren Erman Ozguven; Reza Arghandeh (CDC, 2018)

Shape Preserving Incremental Learning for Power Systems Fault Detection. - Jose Cordova 002; Carlos Soto 002; Mostafa Gilanifar; Yuxun Zhou; Anuj Srivastava; Reza Arghandeh (IEEE Control. Syst. Lett., 2019)

Causal Markov Elman Network for Load Forecasting in Multinetwork Systems. - Lalitha Madhavi Konila Sriram; Mostafa Gilanifar; Yuxun Zhou; Eren Erman Ozguven; Reza Arghandeh (IEEE Trans. Ind. Electron., 2019)

Multi-Task Gaussian Process Learning for Energy Forecasting in IoT-Enabled Electric Vehicle Charging Infrastructure. - Mostafa Gilanifar; Masood Parvania; Mohamad El Hariri (WF-IoT, 2020)

Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data. - Mostafa Gilanifar; Hui Wang 035; Eren Erman Ozguven; Yuxun Zhou; Reza Arghandeh (ACM Trans. Cyber Phys. Syst., 2020)

Multitask Bayesian Spatiotemporal Gaussian Processes for Short-Term Load Forecasting. - Mostafa Gilanifar; Hui Wang 035; Lalitha Madhavi Konila Sriram; Eren Erman Ozguven; Reza Arghandeh (IEEE Trans. Ind. Electron., 2020)

Multi-Task Logistic Low-Ranked Dirty Model for Fault Detection in Power Distribution System. - Mostafa Gilanifar; Jose Cordova 002; Hui Wang 035; Matthias Stifter; Eren Erman Ozguven; Thomas I. Strasser; Reza Arghandeh (IEEE Trans. Smart Grid, 2020)

Integrated Cyber and Physical Anomaly Location and Classification in Power Distribution Systems. - Mehdi Ganjkhani; Mostafa Gilanifar; Jairo Giraldo; Masood Parvania (IEEE Trans. Ind. Informatics, 2021)