Machine Learning

Application of machine learning in electric load forecast
The forecast of the daily load diagram is an integral part of the planning and management of the power system. The system operator …
Josip Vasilj, Dajana Vrbičić Tenđera, Petra Sagrestano Štambuk, Damir Jakus, Marko Lovrić
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Ensemble learning with time-series clustering for aggregated short-term load forecasting
Load forecasting, as one of the important research areas of the smart grids, spans a wide range of methods, from traditional …
Petar Sarajcev, Damir Jakus, Josip Vasilj
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Gaussian process regression modeling of wind turbines lightning incidence with LLS information
This paper presents a machine learning (ML) approach to wind turbine (WT) lightning incidence analysis in complex terrain, based on the …
Petar Sarajčev, Damir Jakus, Eugen Mudnić
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Optimal scheduling of power transformers preventive maintenance with Bayesian statistical learning and influence diagrams
Transformer preventive maintenance scheduling—as an integral part of the power utility company’s asset–management process—if optimized …
Petar Sarajcev, Damir Jakus, Josip Vasilj
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Analysis of Transformer Health Index Using Bayesian Statistical Models
Health index (HI) is a very useful tool for rep- resenting the overall health of a complex asset, such as the power transformer, due to …
Petar Sarajcev, Damir Jakus, Josip Vasilj, Matej Nikolic
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