M
Matti Lehtonen
Researcher at Aalto University
Publications - 770
Citations - 12827
Matti Lehtonen is an academic researcher from Aalto University. The author has contributed to research in topics: Fault (power engineering) & Computer science. The author has an hindex of 40, co-authored 694 publications receiving 8559 citations. Previous affiliations of Matti Lehtonen include Razi University & New York University.
Papers
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Journal ArticleDOI
Air-Core Sensors Operation Modes for Partial Discharge Detection and On-line Diagnostics in Medium Voltage Networks
TL;DR: In this article, the authors presented the inductive sensors that would be suitable for the on-line partial discharge monitoring and the selection of operating mode and characteristics are discussed, and the issues of resonance and signal processing are analyzed for the targets of reaching highest accuracy of the measurements.
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A conditional demand analysis based amr metered load disaggregation: A case study
TL;DR: In this paper, the authors apply a conditional demand analysis (CDA) technique on automatic meter reading (AMR) system metered hourly consumption data linked to detailed statistical survey data for thousands of households from different geographical location in Finland.
Proceedings ArticleDOI
Lightning Over-voltages in Nuclear Power Plants
TL;DR: In this article, the authors analyzed lightning over-voltages in two different nuclear power plants (NPP) by applicable modeling and simulations and proposed protection methods with the surge arresters and the surge capacitances.
Proceedings ArticleDOI
On the Evaluation of Customers Interruption Costs due to Unexpected Power Outages
TL;DR: In this paper, the authors analyzed the customer interruption cost (CIC) evaluation techniques and presented some results of CIC due to unexpected outages, obtained by different methods, including direct worth estimation, willingness to pay and willingness to accept methods.
Journal ArticleDOI
Novel Approach of Arcing Faults Electromagnetic Radiated Energy Source Location Using Antennas in Power Systems
TL;DR: In this article, an approach of power arcing faults source location using the arc electromagnetic (EM) radiated energy absorbed by strategically placed antennas is presented, which can be integrated in power systems as an arcing fault monitoring device to supplement the conventional fault detection methods.