Matti Lehtonen
Professori
Professori
T410 Dept. Electrical Engineering and Automation
Full researcher profile
https://research.aalto.fi/...
Sähköposti
[email protected]
Puhelinnumero
+358504114579
Tutkimusryhmät
- Power Systems and High Voltage Engineering
Julkaisut
Decentralized Energy Management of Multiagent Distribution Systems Considering the Grid Reliability and Agent Misbehavior
Farshid Aghamohammadi, Ali Abbaspour, Hossein Saber, Sajjad Fattaheian-Dehkordi, Matti Lehtonen
2024
IEEE Systems Journal
Detection of Cyber Attacks to Mitigate Their Impacts on the Manipulated EV Charging Prices
Amirhossein Akbarian, Mahdi Bahrami, Mehdi Ahmadi, Mehdi Vakilian, Matti Lehtonen
2024
IEEE Transactions on Transportation Electrification
Wavelet-based arcing signal source localization algorithm using a compact multi-square microstrip antenna
Melaty Amirruddin, Mohd Rafi Adzman, Nur Adyani Mohd Affendi, Muzamir Isa, Muhd Hafizi Idris, Syahirah Abd Halim, Matti Lehtonen
2024
Scientific Reports
Optimal planning of multi-type renewable energy resources and electric vehicle charging stations under resilient charging tariff using Gorilla Troops optimizer
Ali Asaad, Ahmed M. Kassem, Abdelfatah Ali, Karar Mahmoud, Mostafa F. Shaaban, Matti Lehtonen, Salah Kamel, Francisco Jurado, Mohamed Ebeed
2024
Journal of Energy Storage
On Highlighting the Merits of Gas-to-Liquid Transformer Oil Under Accelerated Thermal Aging and Faults: Electrical and Physio- Chemical Properties
Mohamed Badawi, Shimaa A. Ibrahim, Diaa Eldin A. Mansour, Sayed A. Ward, Adel A. El-Faraskoury, Mohsen Ghali, Karar Mahmoud, Matti Lehtonen, Mohamed M.F. Darwish
2024
IEEE Access
A new technique for fault diagnosis in transformer insulating oil based on infrared spectroscopy measurements
Mohamed M.F. Darwish, Mohamed H.A. Hassan, Nagat M.K. Abdel-Gawad, Matti Lehtonen, Diaa Eldin A. Mansour
2024
High Voltage
Diagnosis of power components amid the 4th industrial revolution
Mahmoud Elsisi, Minh-Quang Tran, Mohammed Amer, Viet Q. Vu, Mohamed M.F. Darwish, Karar Mahmoud, Diaa Eldin A. Mansour, Matti Lehtonen
2024
Power Systems Amid the 4th Industrial Revolution
A Distributed Framework for Minimizing the Asymmetrical Power Request in Multi-Agent Microgrids with Unbalanced Integration of DERs
Sajjad Fattaheian-Dehkordi, Mahmud Fotuhi-Firuzabad, Mohammad Shahidehpour, Matti Lehtonen
2024
IEEE Access
Application of machine learning in determining and resolving state estimation anomalies in power systems
Mohammad Ganjkhani, Ali Abbaspour, Sajjad Fattaheian-Dehkordi, Mohammad Gholami, Matti Lehtonen
2024
Sustainable Energy, Grids and Networks
Optimizing decentralized implementation of state estimation in active distribution networks
Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian-Dehkordi, Matti Lehtonen
2024
IET Generation, Transmission and Distribution