Janne Seppänen
Professor of Practice
Professor of Practice
T410 Dept. Electrical Engineering and Automation
Full researcher profile
https://research.aalto.fi/...
Kontakuppgifter
E-post
[email protected]
Forskningsgrupp
- Power Systems and High Voltage Engineering, Professor of Practice
Publikationer
Frequency-Domain System Identification of a First Order Governor-Turbine Model from PMU Ambient Data
Jin Kwon Hwang, Janne Seppänen
2023
2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
On the Relationship between Inter-Area Modes and Power System Inertia
Janne Seppänen, Matti Lehtonen, Jin Kwon Hwang
2023
2023 IEEE 32nd International Symposium on Industrial Electronics, ISIE 2023 - Proceedings
On the Relationship between Ultra Low Frequency Oscillation and Power System Inertia
Janne Seppänen, Matti Lehtonen, Mikko Kuivaniemi, Liisa Haarla
2023
2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Forced Oscillation and Inter-Area Mode Resonance-Effect of the Location of the Oscillation Source
Janne Seppanen, Matti Lehtonen, Mikko Kuivaniemi, Liisa Haarla
2022
2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Long Term Characteristics of Ultra Low Frequency Oscillations in the Nordic Power System
Janne Seppanen, Matti Lehtonen, Mikko Kuivaniemi, Liisa Haarla
2022
Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
An LSTM model for power grid loss prediction
Jarkko Tulensalo, Janne Seppänen, Alexander Ilin
2020
Electric Power Systems Research
Bayesian Approach in the Modal Analysis of Electromechanical Oscillations
Janne Seppanen, Siu Kui Au, Jukka Turunen, Liisa Haarla
2017
IEEE Transactions on Power Systems
Operational experiences of WAMS-based damping estimation methods
Janne Seppanen, Antti Juhani Nikkila, Jukka Turunen, Liisa Haarla
2017
Proceedings of the 2017 IEEE Power and Energy Society PowerTech Conference, PowerTech Manchester 2017
Methods for Monitoring Electromechanical Oscillations in Power Systems
Janne Seppänen
2017
A statistical model for comparing future wind power scenarios with varying geographical distribution of installed generation capacity
M. Koivisto, J. Ekström, J. Seppänen, I. Mellin, Robert Millar, L. Haarla
2016
Wind Energy