
Applied Analytics and AI for Enhanced Energy Security.
Future energy systems and the role of Data Science and analytics.
Excavation damages: Machine Learning as a predictive tool.
25th International Conference on Electricity Distribution: Short-term load forecasting on MV/LV transformer level.
Forecasting electricity load of congestion points in the electricity grid by combining data from sensors and weather forecasts.
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Predicting costly excavation damages and delivering the results automatically to an operational prevention team.
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Developing a big data solution including a dashboard for analyzing high volumes of noisy sensory data.
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Recently, I have been invited to speak about Data Science developments. I also published scientific papers about my work.
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