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X-WR-CALDESC:Events for Linc
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TZOFFSETFROM:+0100
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TZNAME:CEST
DTSTART:20220327T010000
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DTSTART:20221030T010000
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DTSTART;TZID=Europe/Stockholm:20220309T160000
DTEND;TZID=Europe/Stockholm:20220309T170000
DTSTAMP:20260530T033755
CREATED:20220304T112133Z
LAST-MODIFIED:20220304T112133Z
UID:7000-1646841600-1646845200@staging.linclund.com
SUMMARY:Machine Learning & Statistical Models in Energy Markets with Modity Trading
DESCRIPTION:On Wednesday March 9th at 16:00\, we will be joined by head of Quant and Trading Analytics at Modity Trading\, Erik Östberg\, for a guest lecture at the Economics School.\n\nAs spring approaches the Nordic power market leaves behind a winter with record high prices. The high price level and increasing volatility has highlighted the importance of an active and dynamic risk management connected to energy.\nIn this lecture Erik will give a background on the Nordic power system\, he’ll explain the price mechanism and some of the challenges introduced by renewable\, intermittent energy production (wind and solar) and also how ML and statistical methods are used to manage risks in and making a more sustainable energy system possible.\n\nErik holds an M.Sc. in Mechanical Engineering with a Masters in control engineering from Linköping University and has been at Modity Energy Trading for four years. He first worked as a quant developer before leading a small team responsible for their Quant and Trading Analytics
URL:https://staging.linclund.com/event/machine-learning-statistical-models-in-energy-markets-with-modity-trading/
LOCATION:LUSEM\, Tycho Brahes väg 1\, Lund\, 223 63
CATEGORIES:LINC-STEM
ATTACH;FMTTYPE=image/png:https://staging.linclund.com/wp-content/uploads/2022/03/Modity-Training-Banner.png
ORGANIZER;CN="LINC-STEM":MAILTO:stem@linclund.com
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