Kateryna Morozovska

KTH Royal Institute of Technology

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Using Physics-Informed Machine Learning for reusing power system components

Open Date: 2021-11-01

Close Date: 2025-11-01

Articles (16)

Collaborators (1)

Frauke Urban

Royal Institute of Technology

Kateryna Morozovska

Research Interests

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Contact this professor

Recent Grants

Articles (16)

Collaborators (1)

Frauke Urban

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Kateryna Morozovska

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (16)

Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils

Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants

Decarbonizing maritime shipping and aviation: Disruption, regime resistance and breaking through carbon lock-in and path dependency in hard-to-abate transport sectors

Forecasting of wind farm power output based on dynamic loading of power transformer at the substation

Determining total cost of ownership and peak efficiency index of dynamically rated transformer at the PV-power plant

Trade-offs of wind power production: A study on the environmental implications of raw materials mining in the life cycle of wind turbines

Physics-informed neural networks for modelling power transformer’s dynamic thermal behaviour

Physics-informed neural networks for modelling power transformer?s dynamic thermal behaviour

Optimal sizing of the wind farm and wind farm transformer using MILP and dynamic transformer rating

Optimal sizing of the wind farm and wind farm transformer using MILP and dynamic transformer rating

Physics Informed Neural Networks for Power Transformer Dynamic Thermal Modelling

Physics Informed Neural Networks for Power Transformer Dynamic Thermal Modelling

Including Dynamic Line Rating into the Optimal Planning of Distributed Energy Resources

A framework for application of dynamic line rating to aluminum conductor steel reinforced cables based on mechanical strength and durability

A framework for application of dynamic line rating to aluminum conductor steel reinforced cables based on mechanical strength and durability

Dynamic rating assists cost-effective expansion of wind farms by utilizing the hidden capacity of transformers

Collaborators (1)

Frauke Urban

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Meet Kite AI