BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20261007T071535Z UID:5E00B6A6-5C39-4B19-BD3A-5CC5601B2BBD DTSTART;TZID=Asia/Kolkata:20261016T190000 DTEND;TZID=Asia/Kolkata:20261016T200000 DESCRIPTION:The electrification of mobility is fundamentally reshaping ener gy demand across urban infrastructure and enterprise operations. Electric vehicles (EVs) are evolving beyond their traditional role as transport ass ets to become mobile energy buffers\, capable of dynamic interaction with buildings\, charging infrastructure and the power grid. This talk will pre sent a unified approach to leveraging EVs for cost-effective energy manage ment across two complementary domains: smart buildings and logistics opera tions. In the first part\, the talk will explore multi-agent reinforcement learning (MARL) frameworks for the joint control of HVAC systems and EVs within buildings. By modeling EVs as stochastic energy buffers\, the appro ach will discuss how to capture the uncertainty in vehicle availability wh ile ensuring thermal comfort and respecting state-of-charge constraints\, which enables adaptive load shaping under time-of-day pricing regimes\, le ading to significant energy cost savings. The second part will focus on en terprise-scale energy optimization\, where EV fleet routing is tightly cou pled with energy procurement decisions across multiple sources. The talk w ill discuss hybrid iterative optimization frameworks that integrate approx imation techniques for energy sourcing and fleet routing\, ensuring scalab ility across diverse service locations and fleet sizes. Together\, these a pproaches will illustrate how EVs can be orchestrated as intelligent agent s within cyber-physical systems for scalable and optimized operations.\n\n Speaker(s): Dr. Prasant Misra\, \n\nVirtual: https://events.vtools.ieee.or g/m/581554 LOCATION:Virtual: https://events.vtools.ieee.org/m/581554 ORGANIZER:amiya87@gmail.com SEQUENCE:20 SUMMARY:Decision Making in EV/Mobility URL;VALUE=URI:https://events.vtools.ieee.org/m/581554 X-ALT-DESC:Description: <br /><p>The electrification of mobility is fundame ntally reshaping energy demand across urban infrastructure and enterprise operations. Electric vehicles (EVs) are evolving beyond their traditional role as transport assets to become mobile energy buffers\, capable of dyna mic interaction with buildings\, charging infrastructure and the power gri d. This talk will present a unified approach to leveraging EVs for cost-ef fective energy management across two complementary domains: smart building s and logistics operations. In the first part\, the talk will explore mult i-agent reinforcement learning (MARL) frameworks for the joint control of HVAC systems and EVs within buildings. By modeling EVs as stochastic energ y buffers\, the approach will discuss how to capture the uncertainty in ve hicle availability while ensuring thermal comfort and respecting state-of- charge constraints\, which enables adaptive load shaping under time-of-day pricing regimes\, leading to significant energy cost savings. The second part will focus on enterprise-scale energy optimization\, where EV fleet r outing is tightly coupled with energy procurement decisions across multipl e sources. The talk will discuss hybrid iterative optimization frameworks that integrate approximation techniques for energy sourcing and fleet rout ing\, ensuring scalability across diverse service locations and fleet size s. Together\, these approaches will illustrate how EVs can be orchestrated as intelligent agents within cyber-physical systems for scalable and opti mized operations.</p> END:VEVENT END:VCALENDAR