| Optimal design of a wide area measurement system for improvement of power network monitoring using a dynamic multiobjective shortest path algorithm A Ghasemkhani, H Monsef, A Rahimi-Kian, A Anvari-Moghaddam IEEE Systems Journal 11 (4), 2303-2314, 2015 | 35 | 2015 |
| Adaptive Neural Network Based Intelligent Secondary Control for Microgrids M Jafari, V Sarfi, A Ghasemkhani, H Livani, L Yang, H Xu, R Koosha Power and Energy Conference (TPEC), IEEE Texas, 2018 | 16 | 2018 |
| Reinforcement Learning based Pricing for Demand Response A Ghasemkhani, L Yang Communications Workshops (ICC Workshops), 2018 IEEE International Conference on, 2018 | 14 | 2018 |
| An efficient multi-objective approach for designing of communication interfaces in smart grids A Ghasemkhani, A Anvari-Moghaddam, JM Guerrero, B Bak-Jensen 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2016 | 14 | 2016 |
| Multi-objective dispatch of distributed generations in a grid-connected micro-grid considering demand response actions M Parvizimosaed, A Anvari-Moghaddam, A Ghasemkhani, A Rahimi-Kian IET Digital Library, 2013 | 13 | 2013 |
| Learning-based Demand Response for Privacy-Preserving Users A Ghasemkhani, L Yang, J Zhang IEEE Transactions on Industrial Informatics, 2019 | 12 | 2019 |
| Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections M Jafari, A Ghasemkhani, V Sarfi, H Livani, L Yang, H Xu IET Cyber-Physical Systems: Theory & Applications 4 (4), 341-352, 2019 | 3 | 2019 |
| Decentralized Dynamic State Estimation with Missing and Delayed PMU Measurements A Ghasemkhani, V Sarfi, L Yang, H Livani 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2018 | 3 | 2018 |
| Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning M Jafari, V Sarfi, A Ghasemkhani, H Livani, L Yang, H Xu 2019 IEEE Power & Energy Society General Meeting, 1-5, 2019 | 1 | 2019 |
| Multi-Attribute Distributed Generation Planning in a Micro-Grid Considering Uncertainty Conditions A Ghasemkhani, M Setareh, A Anvari-Moghaddam, M Parvizi-Mosaed, ... Proceedings of the 21st Iranian Conference on Electrical Engineering (icee), 1-6, 2013 | 1 | 2013 |
| A Regularized Tensor Completion Approach for PMU Data Recovery A Ghasemkhani, I Niazazari, Y Liu, H Livani, VA Centeno, L Yang IEEE Transactions on Smart Grid, 2020 | | 2020 |
| Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements I Niazazari, H Livani, A Ghasemkhani, Y Liu, L Yang arXiv preprint arXiv:2008.11582, 2020 | | 2020 |
| Deep Neural Network based Wide-Area Event Classification in Power Systems I Niazazari, A Ghasemkhani, Y Liu, S Biswas, H Livani, L Yang, ... arXiv preprint arXiv:2008.10151, 2020 | | 2020 |
| DeepGrid: Robust Deep Reinforcement Learning-based Contingency Management A Ghasemkhani, A Darvishi, I Niazazar, A Darvishi, H Livani, L Yang 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020 | | 2020 |
| Using Novel Machine Learning Algorithms to Improve the Spatiotemporal Coverage of Satellite Aerosol Optical Depth J Huang, A Ghasemkhani, SM Loria Salazar, F Yan, L Yang, E Smirni, ... AGUFM 2019, A13K-2978, 2019 | | 2019 |
| Decentralized Dynamic State Estimation with Bimodal Gaussian Mixture Measurement Noise V Sarfi, A Ghasemkhani, I Niazazari, L Yang, H Livani 2019 North American Power Symposium (NAPS), 1-5, 2019 | | 2019 |
| Data Mining-Based Smart Energy Management System for Micro-grids M Parvizi-Mosaed, F Farmani, A Ghasemkhani, A Anvari-Moghaddam, ... Proceedings of the 28th International Power System Conference (psc), 1-8, 2013 | | 2013 |
| A Decision Maker for Energy Management in Residential Micro-grids F Farmani, M Parvizi-Mosaed, H Monsef, A Rahimi-Kian, A Ghasemkhani, ... Proceedings of the 28th International Power System Conference (psc), 1-7, 2013 | | 2013 |
| Smart Energy Management in a Micro-Grid Considering Demand Response Program M Parvizi-Mosaed, A Anvari-Moghaddam, A Ghasemkhani, M Setareh, ... Proceedings of the 27th International Power System Conference (psc), 1-8, 2012 | | 2012 |
| Seasonal Self-evolving Neural Networks Based Short-term Wind Farm Generation Forecast Y Liu, A Ghasemkhani, L Yang, J Zhao, J Zhang, V Vittal | | |
Lei YangAssistant Professor of Computer Science and Engineering, University of Nevada, RenoVerified email at unr.edu
