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PRODID:-//CITIES Innovation Center - ECPv4.3.2//NONSGML v1.0//EN
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X-WR-CALNAME:CITIES Innovation Center
X-ORIGINAL-URL:https://www.citiesinnovation.org
X-WR-CALDESC:Events for CITIES Innovation Center
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DTSTART;TZID=Europe/Copenhagen:20200704T080000
DTEND;TZID=Europe/Copenhagen:20200705T170000
DTSTAMP:20260513T201802
CREATED:20200213T093920Z
LAST-MODIFIED:20200528T104454Z
UID:160645-1593849600-1593968400@www.citiesinnovation.org
SUMMARY:Postponed to October 2020: Summer School - Rio de Janeiro: Renewable Energy Forecasting
DESCRIPTION:Henrik Madsen\, center director of CITIES and professor at DTU Compute\, is invited to Rio de Janeiro in Brazil in October 2020 to hold: Renewable Energy Forecasting Summer School.\n\nFollowing upon the global measures to contain and mitigate the spread of COVID-19\, the IIF Board of Directors will postpone this event from July to October. We are reviewing several options for rescheduling or meeting alternatives and will announce as new events develop. The date in Ocotober will come soon.\n\n\nThe IIF Summer School is a two-day course which provides in-depth analysis of a cutting edge topic in forecasting from one of the International Symposium on Forecasting (ISF) invited speakers. The Summer School typically shares the same venue as the ISF.\n\nRenewable Energy Forecasting – Theory and Practice\n\nToday\, on average\, roughly 50 per cent of the electricity in Denmark is generated as wind and solar power. Wind power alone accounts for around 44 per cent of the electricity load\, but this is highly fluctuating. Denmark has hours with almost no wind but also experiences periods with up to 140 per cent of the electricity load. Therefore\, forecasting is crucial in order to operate the energy systems including the electricity grid. Prof. Madsen and his collaborators are responsible for the methods used\, eg. in Denmark\, by both transmission system operators and low voltage operators.\n\nThrough a combination of lectures and lab sessions\, this course will provide an introduction to methods and tools used for forecasting wind and solar power generation. We will touch upon how the forecasts are used in the daily operation of the power system. For the lab session\, R software packages will be used. The topics covered are:\n\n \tPoint forecasts and probabilistic forecasts\n \tUse of meteorological (MET) forecasts\n \tSimple parametric models for forecasting (Box-Jenkins\, SARIMA\, Holt-Winter\, Neural Networks\, AI\, Hidden Markov\, Regime based models)\n \tNon- and Semi-parametric methods (Kernel\, Spline\, Local polynomial\, and Varying coefficient based methods)\n \tState spaces models in discrete and continuous time\n \tMultivariate probabilistic forecasting\n \tMethods for forecast evaluation\n \tSpatio-temporal forecasting\n \tForecasting hierarchies\n \tCombined forecasting (eg. for use of several MET providers)\n \tDown- and upscaling\n \tAdaptive forecasting\n \tGenerating forecasts for optimal decision making\n \tTools for wind and solar power forecasting\n\nThe course will also provide options for the best tool depending on the penetration level of the renewables and the setting in general.\n\nInterested in attending Henrik Madsen’s summer school? Read more about the course in Rio here.\n\n
URL:https://www.citiesinnovation.org/event/summer-school-rio-de-janeiro-renewable-energy-forecasting/
LOCATION:Rio de Janeiro \, Brazil
CATEGORIES:Workshop
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