Winning the Big Data Technologies Horizon Prize: Fast and reliable forecasting of electricity grid traffic by identification of recurrent fluctuations
Jose M. G. Vilar
Dia i hora:
Dimarts 4 de juny de 2019 a les 11:30.
Aula A2 del Centre de Recerca Matemàtica, Facultat de Ciències, campus de la UAB. (enllaç)
1 hora aproximadament
L'assistència a aquest seminari és gratuïta.
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I will comment on the approach and methodology I used in winning the European Union Big Data Technologies Horizon Prize on data-driven prediction of electricity grid traffic. The methodology relies on identifying typical short-term recurrent fluctuations, which is subsequently refined through a regression-of-fluctuations approach. I will also emphasize the key points and strategic considerations that led to selecting or discarding different methodological aspects. The criteria include adaptability to changing conditions, reliability with outliers and missing data, robustness to noise, and efficiency in implementation.
Jose M. G. Vilar is an Ikerbasque Professor at the Biofisika Institute, a joint center between CSIC and the University of the Basque Country. His current research focuses on multidisciplinary computational methods to predict and understand complex processes. Before moving to the Basque Country, he created and headed the Integrative Biological Modeling Laboratory at Memorial Sloan-Kettering Cancer Center and he was an Assistant Professor of Physiology, Biophysics, and Systems Biology at Cornell University. He obtained his PhD in Physics on the constructive role of random noise from the University of Barcelona and was a Postdoctoral Researcher at Princeton University working on stochastic fluctuations in biological networks. He is author of 56 publications in SCI journals, has edited a book, and has developed several software packages. He is also Academic Editor of PLoS ONE, Editorial Board Member of In Silico Biology, Advisory Editor of European Biophysics Journal, and Associate Editor of BMC Systems Biology. He was awarded the 2012 Werfen-Izasa-Beckman-Coulter prize in Biophysics and has won the European Union Big Data Technologies Horizon Prize.