BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/London BEGIN:DAYLIGHT DTSTART:20240331T020000 TZOFFSETFROM:+0000 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:BST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T010000 TZOFFSETFROM:+0100 TZOFFSETTO:+0000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:GMT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240429T204258Z UID:B81957A8-3347-47C2-9A00-7AEB67228787 DTSTART;TZID=Europe/London:20240422T130000 DTEND;TZID=Europe/London:20240422T140000 DESCRIPTION:[]\n\nAbout the talk:\n\nThe fast growth of Electric Vehicles ( EVs) is likely necessary to meet decarbonization goals in most countries. High charging power peaks and large overall energy needs can significantly increase carbon emissions and strain electric grids. Instead of network u pgrading\, with the costs borne by consumers\, we can better utilize the e xisting infrastructure with optimal charging management aided by forecasti ng\, as well as thoughtful planning of new charging stations. However\, tr ansportation predictability and user requirements can vary considerably. C ertain fleets may be quite predictable but have strict recharging constrai nts. Residential EV charging\, on the other hand\, can be quite stochastic but also tolerant to scheduled recharging.\n\nCombining statistical tools \, such as Monte Carlo and Bayesian methods\, with modern machine learning \, such as Long Short-Term Memory (LSTM) Networks\, can help facing these challenges and result in flexible and accurate EV power forecasts. In addi tion\, an EV charging station aggregated demand profile can be disaggregat ed into the estimated charging session profiles to detect patterns at the vehicle- or user-level.\n\nBiography:\n\nProf. Sonia Leva received the M.S c. and Ph.D. degrees\, both in Electrical Engineering\, from the Faculty o f Engineering\, Politecnico di Milano\, Italy. Since 2016\, she is a Full Professor in “Elettrotecnica” (Electrical Engineering-Circuit Theory) at the Department of Energy\, where she is also the Deputy Director.\n\nTh e research group of Prof. Sonia Leva focuses on the following topics:\n\n- Multi-good Microgrid analysis\, control and optimization.\n- Models and a nalysis of devices for the production\, management and monitoring of gener ation systems based on renewable sources.\n- Photovoltaic\, wind systems\, load and EV power forecasting.\n\nProf. Leva is the author of two patents and more than 300 papers published in international journals or presented in international conferences. She has obtained several prizes and awards for her research activity and has given invited lectures in various Europe an\, Asian and American countries.\n\nSonia Leva is also Editor and Associ ate Editor of several international journals. She is coordinating a resear ch group in the field of photovoltaic systems and microgrids\, including P hD students and postgraduate grant holders\, and acts as the head of the S olarTechLab and Multi-good Microgrid lab in the Department of Energy\, Pol itecnico di Milano (www.solartech.polimi.it\, www.mg2lab.polimi.it).\n\nAg enda: \n1pm-1:15pm BST Introduction to PES Day celebration\n\n1:15pm-1:45p m BST Presentation by Prof Leva\n\n1:45pm-2pm BST Questions from the audie nce\n\nVirtual: https://events.vtools.ieee.org/m/416046 LOCATION:Virtual: https://events.vtools.ieee.org/m/416046 ORGANIZER:jelena.ponocko@ieee.org SEQUENCE:13 SUMMARY:EV Charging Forecasting to Minimize Impacts on the Grid URL;VALUE=URI:https://events.vtools.ieee.org/m/416046 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="text-align: justi fy\; text-justify: inter-ideograph\;"><strong><img src="https://events.vto ols.ieee.org/vtools_ui/media/display/bde25bb8-9eee-4d0a-acdb-f09173d62a89" alt="" width="1099" height="560"></strong></p>\n<p class="MsoNormal" styl e="text-align: justify\; text-justify: inter-ideograph\;">&nbsp\;</p>\n<p class="MsoNormal" style="text-align: justify\; text-justify: inter-ideogra ph\;"><strong>About the talk:</strong></p>\n<p class="MsoNormal" style="te xt-align: justify\; text-justify: inter-ideograph\;">The fast growth of El ectric Vehicles (EVs) is likely necessary to meet decarbonization goals in most countries. High charging power peaks and large overall energy needs can significantly increase carbon emissions and strain electric grids. Ins tead of network upgrading\, with the costs borne by consumers\, we can bet ter utilize the existing infrastructure with optimal charging management a ided by forecasting\, as well as thoughtful planning of new charging stati ons. However\, transportation predictability and user requirements can var y considerably. Certain fleets may be quite predictable but have strict re charging constraints. Residential EV charging\, on the other hand\, can be quite stochastic but also tolerant to scheduled recharging.</p>\n<p class ="MsoNormal" style="text-align: justify\; text-justify: inter-ideograph\;" >Combining statistical tools\, such as Monte Carlo and Bayesian methods\, with modern machine learning\, such as Long Short-Term Memory (LSTM) Netwo rks\, can help facing these challenges and result in flexible and accurate EV power forecasts. In addition\, an EV charging station aggregated deman d profile can be disaggregated into the estimated charging session profile s to detect patterns at the vehicle- or user-level.</p>\n<p class="MsoNorm al" style="text-align: justify\; text-justify: inter-ideograph\;">&nbsp\;< /p>\n<p class="MsoNormal" style="text-align: justify\; text-justify: inter -ideograph\;"><strong>Biography:</strong></p>\n<p class="MsoNormal" style= "text-align: justify\; text-justify: inter-ideograph\;">Prof. Sonia Leva r eceived the M.Sc. and Ph.D. degrees\, both in Electrical Engineering\, fro m the Faculty of Engineering\, Politecnico di Milano\, Italy. Since 2016\, she is a Full Professor in &ldquo\;Elettrotecnica&rdquo\; (Electrical Eng ineering-Circuit Theory) at the Department of Energy\, where she is also t he Deputy Director.</p>\n<p class="MsoNormal" style="text-align: justify\; text-justify: inter-ideograph\;">The research group of Prof. Sonia Leva f ocuses on the following topics:</p>\n<ul>\n<li class="MsoNormal" style="te xt-align: justify\;">Multi-good Microgrid analysis\, control and optimizat ion.</li>\n<li class="MsoNormal" style="text-align: justify\;">Models and analysis of devices for the production\, management and monitoring of gene ration systems based on renewable sources.</li>\n<li class="MsoNormal" sty le="text-align: justify\;">Photovoltaic\, wind systems\, load and EV power forecasting.</li>\n</ul>\n<p class="MsoNormal" style="text-align: justify \; text-justify: inter-ideograph\;">Prof. Leva is the author of two patent s and more than 300 papers published in international journals or presente d in international conferences. She has obtained several prizes and awards for her research activity and has given invited lectures in various Europ ean\, Asian and American countries.</p>\n<p class="MsoNormal" style="text- align: justify\; text-justify: inter-ideograph\;">Sonia Leva is also Edito r and Associate Editor of several international journals. She is coordinat ing a research group in the field of photovoltaic systems and microgrids\, including PhD students and postgraduate grant holders\, and acts as the h ead of the SolarTechLab and Multi-good Microgrid lab in the Department of Energy\, Politecnico di Milano (<a href="http://www.solartech.polimi.it">< span style="color: windowtext\; text-decoration: none\; text-underline: no ne\;">www.solartech.polimi.it</span></a>\, <a href="http://www.mg2lab.poli mi.it"><span style="color: windowtext\; text-decoration: none\; text-under line: none\;">www.mg2lab.polimi.it</span></a>).</p><br /><br />Agenda: <br /><p class="MsoNormal"><span style="font-size: 11.0pt\; mso-fareast-font- family: 'Yu Gothic'\; mso-fareast-theme-font: minor-fareast\;">1pm-1:15pm BST&nbsp\; &nbsp\; &nbsp\; &nbsp\; Introduction to PES Day celebration</sp an></p>\n<p class="MsoNormal"><span style="font-size: 11.0pt\; mso-fareast -font-family: 'Yu Gothic'\; mso-fareast-theme-font: minor-fareast\;">1:15p m-1:45pm BST&nbsp\; &nbsp\;Presentation by Prof Leva</span></p>\n<p class= "MsoNormal"><span style="font-size: 11.0pt\; mso-fareast-font-family: 'Yu Gothic'\; mso-fareast-theme-font: minor-fareast\;">1:45pm-2pm BST&nbsp\; & nbsp\; &nbsp\; &nbsp\; Questions from the audience</span></p> END:VEVENT END:VCALENDAR