| 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 | 60 | 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 | 50 | 2018 |
| 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 | 43 | 2021 |
| 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 | 36 | 2019 |
| 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 | 29 | 2018 |
| 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 | 26 | 2021 |
| 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 | 26* | 2019 |
| Clustered multi-node learning of electric vehicle charging flexibility M Gilanifar, M Parvania Applied energy 282, 116125, 2021 | 21 | 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 | 12 | 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 | 11 | 2020 |
| 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 | 11 | 2018 |
| 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 | 4 | 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 | 4 | 2020 |
| Heterogeneous data fusion for performance improvement in electric power systems M Gilanifar The Florida State University, 2019 | 3 | 2019 |
Reza ArghandehProfessor, Western Norway University of Applied SciencesVerified email at hvl.no
