Mostafa Gilanifar
Mostafa Gilanifar
Lead Data Scientist
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Cited by
Cited by
Multitask Bayesian spatiotemporal Gaussian processes for short-term load forecasting
M Gilanifar, H Wang, LMK Sriram, EE Ozguven, R Arghandeh
IEEE Transactions on Industrial Electronics 67 (6), 5132-5143, 2019
Causal Markov Elman network for load forecasting in multinetwork systems
LMK Sriram, M Gilanifar, Y Zhou, EE Ozguven, R Arghandeh
IEEE Transactions on Industrial Electronics 66 (2), 1434-1442, 2018
Multi-task logistic low-ranked dirty model for fault detection in power distribution system
M Gilanifar, J Cordova, H Wang, M Stifter, EE Ozguven, TI Strasser, ...
IEEE Transactions on Smart Grid 11 (1), 786-796, 2019
Integrated cyber and physical anomaly location and classification in power distribution systems
M Ganjkhani, M Gilanifar, J Giraldo, M Parvania
IEEE Transactions on Industrial Informatics 17 (10), 7040-7049, 2021
Shape preserving incremental learning for power systems fault detection
J Cordova, C Soto, M Gilanifar, Y Zhou, A Srivastava, R Arghandeh
IEEE control systems letters 3 (1), 85-90, 2018
Bayesian Spatiotemporal Gaussian Process for Short-term Load Forecasting Using Combined Transportation and Electricity Data
M Gilanifar, H Wang, EE Ozguven, Y Zhou, R Arghandeh
ACM Transactions on Cyber-Physical Systems (TCPS) 4 (1), 2019
Fault classification in power distribution systems based on limited labeled data using multi-task latent structure learning
M Gilanifar, H Wang, J Cordova, EE Ozguven, TI Strasser, R Arghandeh
Sustainable Cities and Society 73, 103094, 2021
Clustered multi-node learning of electric vehicle charging flexibility
M Gilanifar, M Parvania
Applied energy 282, 116125, 2021
Multivariate deep causal network for time series forecasting in interdependent networks
KSL Madhavi, M Gilanifar, Y Zhou, EE Ozguven, R Arghandeh
2018 IEEE Conference on Decision and Control (CDC), 6476-6481, 2018
Data-driven and hurricane-focused metrics for combined transportation and power networks resilience
D Pinzan, A Kocatepe, M Gilanifar, MB Ulak, EE Ozguven, R Arghandeh
Proceedings of the 2018 Transportation Research Board Annual Meeting (TRB’18), 2018
Subway station site selection using GIS-based multi-criteria decision-making: a case study in a developing country
M Ghorbanzadeh, M Effati, M Gilanifar, EE Ozguven
Comput. Res. Prog. Appl. Sci. Eng 6, 60-69, 2020
Using regression analysis to predict the demand function of electricity: A case study
HK Khozani, E Esmaeili, MN Bisheh, SA Ayatollahi, M Gilanifar
American Journal of Engineering and Applied Sciences 13 (4), 759-767, 2020
Heterogeneous data fusion for performance improvement in electric power systems
M Gilanifar
The Florida State University, 2019
Multi-Task Gaussian Process Learning for Energy Forecasting in IoT-Enabled Electric Vehicle Charging Infrastructure
M Gilanifar, M Parvania, M El Hariri
2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-6, 2020
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