People

Matti Lehtonen

Professori

T410 Dept. Electrical Engineering and Automation

Full researcher profile

https://research.aalto.fi/...

Contact information

[email protected]

Phone number

+358504114579

Research groups

Power Systems and High Voltage Engineering

Publications

Optimal scheduling of DG and EV parking lots simultaneously with demand response based on self-adjusted PSO and K-means clustering

Farag K. Abo-Elyousr, Adel M. Sharaf, Mohamed M.F. Darwish, Matti Lehtonen, Karar Mahmoud 2022 Energy Science and Engineering

Optimal planning of inverter-based renewable energy sources towards autonomous microgrids accommodating electric vehicle charging stations

Abdelfatah Ali, Karar Mahmoud, Matti Lehtonen 2022 IET GENERATION TRANSMISSION AND DISTRIBUTION

A Robust MPC Method for Post-Disaster Distribution System Reconfiguration based on Repair Crew Routing

Ali Arjomandi-Nezhad, Mahmoud Fotuhi-Firuzabad, Hesam Mazaheri, Matti Lehtonen, Moein Moeini-Aghtaie, Saeed Peyghami 2022 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022

Pandemic-Aware Day-Ahead Demand Forecasting using Ensemble Learning

Ali Arjomandi-Nezhad, Amirhossein Ahmadi, Saman Taheri, Mahmud Fotuhi-Firuzabad, Moein Moeini-Aghtaie, Matti Lehtonen 2022 IEEE Access

Reliable Estimation for Health Index of Transformer Oil Based on Novel Combined Predictive Maintenance Techniques

Mohamed Badawi, Shimaa A. Ibrahim, Diaa Eldin A. Mansour, Adel EL-Faraskoury, Sayed A. Ward, Karar Mahmoud, Matti Lehtonen, Mohamed M.F. Darwish 2022 IEEE Access

A Novel Pre-Storm Island Formation Framework to Improve Distribution System Resilience Considering Tree-Caused Failures

Mahdi Bahrami, Mehdi Vakilian, Hossein Farzin, Matti Lehtonen 2022 IEEE Access

Optimal deep learning based aggregation of TCLs in an inverter fed stand-alone microgrid for voltage unbalance mitigation

Souvik Bera, Sourav Chakraborty, Deepak Kumar, Nada Ali, Matti Lehtonen 2022 Electric Power Systems Research