Matin Farhoumandi - Google Scholar

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Co-authors

Mohammad ShahidehpourDistinguished Professor of Electrical and Computer Engineering, IITVerified email at iit.edu
Farrokh AminifarUniversity of Tehran and Illinois Institute of TechnologyVerified email at ut.ac.ir
Quan ZhouProfessor in College of Electrical and Information Engineering, Hunan UniversityVerified email at hnu.edu.cn
Anahita BahramiPh.D. Candidate, Illinois Institute of TechnologyVerified email at hawk.iit.edu

Matin Farhoumandi

Matin Farhoumandi

Senior Research Associate at Illinois Institute of Technology

Verified email at hawk.iit.edu

Power System Planning Microgrids Optimization Machine Learning Blockchain Technology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A review of machine learning applications in IoT-integrated modern power systems M Farhoumandi, Q Zhou, M Shahidehpour The Electricity Journal 34 (1), 106879, 2021	59	2021
Generation expansion planning considering the rehabilitation of aging generating units M Farhoumandi, F Aminifar, M Shahidehpour IEEE Transactions on Smart Grid 11 (4), 3384-3393, 2020	31	2020
Concepts and Fundamentals of Resilience Assessment in Electric Power Grids F Aminifar, M Farhoumandi Journal of Iranian Association of Electrical and Electronics Engineers 15 (3 …, 2018	2	2018
Short-term Forecasting of Non-Conforming Net Load Using a Fusion Model with Machine Learning and Deep Learning Methods M Farhoumandi, A Bahrami, M Shahidehpour, J Jones, C Madvesh, ... 2023 9th International Conference on Control, Decision and Information …, 2023		2023
Application of Blockchain and Artificial Intelligence Methods in Power System Operation and Control M Farhoumandi Illinois Institute of Technology, 2023		2023

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