Yusen Wang
Quantitative Engineer at Tibber
Based in Sweden
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Seniority
Staff
Department
Engineering
Location
Sweden
Industry
Services for Renewable Energy
Company size
292
Contact information
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y•••••••@tibber.com
Phone
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Background
About Yusen Wang
As a Research Engineer and Ph.D Candidate at Kungliga Tekniska högskolan (KTH), I apply machine learning techniques to solve practical problems in energy systems. My research interests include integration of intermittent generation and IoT appliances, communication protocols, cloud computing, big data, data modeling, time series prediction, and optimization.I have a master's degree in Electric Power Engineering from KTH and a bachelor's degree in Electrical Engineering of Honors Program from China Agricultural University. Through my education and work experience, I have acquired technical knowledge and skills in machine learning, data science, computer vision, and optimization. I am motivated by the challenge and potential of applying machine learning to smart grid systems, and I aim to contribute to the advancement of this field.
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