BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Copenhagen BEGIN:DAYLIGHT DTSTART:20140330T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20131027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20150119T165604Z UID:F1367A59-E5B6-11E7-833E-0050568D7F66 DTSTART;TZID=Europe/Copenhagen:20140121T120000 DTEND;TZID=Europe/Copenhagen:20140122T140000 DESCRIPTION:A workshop on statistical modeling with focus on time series an alysis and grey-box modeling.\n\nThe purpose of the workshop is to give th e participants an introduction to statistical modelling\, especially to ti me series analysis using black-box (ARX/ARMAX) and grey-box models. The in tent is that the workshop will be held in an interactive way\, such that a ll participants independent of prior knowledge in the field\, can gain new knowledge.\n\nThe program is as follows:\n\n12:00: Arrival and sandwich l unch.\n13:00: Lecture 1: Introduction of statistical modelling and time se ries modelling (Auto-correlation function\, framework of models (regressio n\, black box\, grey-box)\, parameter estimation and uncertainty\, statist ical tests).\n14:00: Exercise 1: ARX models for the heat dynamics of a tes t box (very small building). This exercise primarily aims at introducing t he ARX models\, which are extremely useful for forecasting and performance assessment.\n18:00: Lecture 2: Maximum likelihood\, model selection and m odel verification.\n19:00: Dinner.\n\n22:00: Possibility for staying over night at the location (free beds in the PowerFlexhouse).\n08:00: Breakfast \n08:30: Lecture 3: Grey-box modelling. The grey-box modelling framework p rovides an extremely strong setup for combining physics and statistics for modelling of dynamical systems\, for example passive (mostly linear) and active (mostly non-linear) thermal systems providing the basis for MPC app lications.\n09:00: Exercise 2: Grey-box modelling of the heat dynamics of a building. The heat dynamics of a building are modeled with grey-box mode ls and a model selection is carried out to find a suitable model structure .\n12:00 Sandwich lunch and continuing on Exercise 2.\n14:00 Goodbye.\n\nT he exercises will be "hands-on" using the participants laptops and carried out using the free software R ([www.r-project.org](http://www.r-project.o rg/)) and CTSM-R (grey-box modelling package for R).\n\nCo-sponsored by: C EE - DTU Elektro \n\nRoskilde\, Roskilde Amt\, Denmark LOCATION:Roskilde\, Roskilde Amt\, Denmark ORGANIZER: SEQUENCE:0 SUMMARY:[Legacy Report] Workshop on Statistical modeling URL;VALUE=URI:https://events.vtools.ieee.org/m/111831 X-ALT-DESC:Description: <br /><h1 id="outercontent_0_content_0_ContentHeadi ng"><strong><strong><strong><strong>A workshop on statistical modeling wit h focus on time series analysis and grey-box modeling.</strong></strong></ strong></strong></h1>\n<div id="outercontent_0_content_0_ContentText" clas s="contenttext lineheight13_20">\n<p>&nbsp\;</p>\n<p>The purpose of the wo rkshop is to give the participants an introduction to statistical modellin g\, especially to time series analysis using black-box (ARX/ARMAX) and gre y-box models. The intent is that the workshop will be held in an interacti ve way\, such that all participants independent of prior knowledge in the field\, can gain new knowledge.</p>\n<p><br />The program is as follows:<b r /><br />12:00: Arrival and sandwich lunch.<br />13:00: Lecture 1: Introd uction of statistical modelling and time series modelling (Auto-correlatio n function\, framework of models (regression\, black box\, grey-box)\, par ameter estimation and uncertainty\, statistical tests).<br />14:00: Exerci se 1: ARX models for the heat dynamics of a test box (very small building) . This exercise primarily aims at introducing the ARX models\, which are e xtremely useful for forecasting and performance assessment.<br />18:00: Le cture 2: Maximum likelihood\, model selection and model verification.<br / >19:00: Dinner.<br /><br />22:00: Possibility for staying over night at th e location (free beds in the PowerFlexhouse).<br />08:00: Breakfast<br />0 8:30: Lecture 3: Grey-box modelling. The grey-box modelling framework prov ides an extremely strong setup for combining physics and statistics for mo delling of dynamical systems\, for example passive (mostly linear) and act ive (mostly non-linear) thermal systems providing the basis for MPC applic ations.<br />09:00: Exercise 2: Grey-box modelling of the heat dynamics of a building. The heat dynamics of a building are modeled with grey-box mod els and a model selection is carried out to find a suitable model structur e.<br />12:00 Sandwich lunch and continuing on Exercise 2.<br />14:00 Good bye.<br /><br />The exercises will be "hands-on" using the participants la ptops and carried out using the free software R (<a href="http://www.r-pro ject.org/">www.r-project.org</a>) and CTSM-R (grey-box modelling package f or R).</p>\n</div> END:VEVENT END:VCALENDAR