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Author

Niko Nevaranta

2 papers indexed here

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Conference Sep 2026

Hybrid Physics-Informed Learning for Multi-Objective Surrogate Models for Nonlinear Magnetic Bearing Actuator

Learning-based surrogate modeling techniques have been extensively investigated and provide practical alternative in electromechanical systems. Traditional implementations rely on lookup tables, which, while accurate, depend on an interpolated discrete simulation dataset generated from the computationally expensive hig...

Jawad Tariq, M. Numan, Tuomo Lindh et al. · 0 citations
Open access Sep 2026

Regional Estimation of Wind Power Production in Finland Using k ‐Means Clustering and Power Curve Fitting

Wind power has become one of the fastest growing renewable energy sources globally and plays a central role in Finland's electrical grid system, where it already accounts for approximately one quarter of total electricity generation. The increasing penetration of converter‐interfaced wind power plants introduces chal...

Marek Rehtla, Anna Tupitsina, Tuomo Lindh et al. · 0 citations

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