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

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

Enhancement of the underground cable current capacity by using nano-dielectrics

Ossama E. Gouda, Mohamed M.F. Darwish, Ahmed Thabet, Matti Lehtonen, Gomaa F.A. Osman 2024 Energy Science and Engineering