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DTSTART;TZID=Europe/Madrid:20240529T173000
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SUMMARY:Simposio de Robótica\, Bioingeniería y Visión por Computador.
DESCRIPTION:Simposio de Robótica\, Bioingeniería y Visión por Computador.\nEste simposio representará un punto de encuentro único para la presentación y discusión de los trabajos más recientes de los grupos temáticos de Robótica\, Bioingeniería y Visión por Computador del Comité Español de Automática (CEA). Investigadores\, académicos y profesionales convergerán en este espacio propicio para el intercambio de conocimientos y la exploración de colaboraciones futuras.\nEl escenario elegido para este evento excepcional será la Escuela de Ingenierías Industriales de Badajoz.\nEl programa abarcará una amplia gama de temas de todos los grupos\, charlas plenarias y un reconfortante programa social\, proporcionando un ambiente propicio para el networking y el establecimiento de conexiones duraderas entre los participantes.\nAgenda:\n(https://eventos.unex.es/107983/programme/simposio-de-robotica-biongenieria-y-vision-por-computador-2024.html)\nBldg: Escuela de Ingenierías Industriales\, Av. de Elvas\, s/n\, Badajoz\, Extremadura\, Spain\, 06006
URL:https://ieeespain.org/event/simposio-de-robotica-bioingenieria-y-vision-por-computador/
LOCATION:Bldg: Escuela de Ingenierías Industriales\, Av. de Elvas\, s/n\, Badajoz\, Extremadura\, Spain\, 06006
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DTSTART;TZID=Europe/Madrid:20240531T100000
DTEND;TZID=Europe/Madrid:20240531T130000
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CREATED:20240520T113850Z
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SUMMARY:IEEE PES ESPAÑA |  | Artificial intelligence for energy systems. Developments from TU_DELFT and CITCEA-UPC
DESCRIPTION:IEEE PES ESPAÑA |  | THE ENERGY TRANSITION|  | Artificial intelligence for energy systems. Developments from TU_DELFT and CITCEA-UPC\nFrom IEEE PES SPAIN we continue with the  series on the topic\nTHE ENERGY TRANSITION | Towards a DECARBONIZED ECONOMY\nThe energy transition towards a decarbonized economy will present a relevant challenge and a crucial transformation faced by our Society; Decelerating climate change effects is becoming a moral commitment.\nAs a society\, we are part of the decarbonized energy process that goes through the electrification of the economy and it is supported by renewables within a sustainable energy model.\nThis means a change of paradigm which heads towards an immediate exciting future full of challenges at all levels associated with flexibility in its widest conception. It is assumed that a change of paradigm\, that requires changing the focus from active based asset management towards the digitalization that ensures resiliency and security for the future electric systems.\nIn this context\, we need to contribute and stimulate the exchange of ideas from different perspectives and experiences\, creating a framework of reflection through these series of webinars. The expected benefit and impact is the identification of opportunities within the complexity associated with the change of paradigm.\nIn this webinar\, researchers from CITCEA-UPC and TU-DELFT will explain their recent developments on artifcial intelligence applications for energy systems.\nTitle: Artificial intelligence for energy systems. Developments from TU_DELFT and CITCEA-UPC\nContents: The event will start with an introduction to the main activities from TU Delft "AI Energy" Lab and CITCEA-UPC "Smart energy and grids" area\, with special focus on machine learning applications for power systems. Developments from TU Delft "AI Energy Lab"\, include new computational methods for system operation and control that combine statistical machine learning and mathematical optimisation. Special attention will be paid to applications covering congestion managament\, home energy management systems\, security assessment and on the trust and generazability of AI. Developments from CITCEA-UPC "Smart energy and grids" area will address data-driven services for enhancing the operation and planning of electrical distribution grids. In particular: non-technical losses estimation\, behind-the-meter PV disaggregation\, grid expansion planning\, short-term load forecasting and flexibility services for Balancing Responsible Parties.\nSpeakers: Jochen Chremer (TU-Delft)\, Joan Marc Rodríguez Bernuz (CITCEA-UPC)\, Sara Barja (CITCEA-UPC)\, Mònica Aragüés (CITCEA-UPC)\, Marc Jené (CITCEA-UPC)\, Antonio E. Saldaña (CITCEA-UPC)\, Óscar Cabrera (CITCEA-UPC) and Adriano Caprara (CITCEA-UPC)\nModerator: Joan Marc Rodríguez\nDate: May 31\, 2024\nTime: 10:00 – 13:00 (CET)\nLanguage: English\nParticipation in these  is open to everyone\, including both PES Members and non-Members. However\, REGISTRATION  is necessary in order to receive the  access link and URL to WebEx. The Connection link to this  will be sent to the registrants by e-mail on the event day at 11:30 (CET).\nThe Registration closes at 9:30 (CET) on May 31 2024. The direct access to the REGISTRATION is at\nhttps://events.vtools.ieee.org/event/register/421203\nFor further information: IEEE PES ESPAÑA | : https://events.vtools.ieee.org/m/421203\nThe IEEE PES ESPAÑA System issues participation certificates in these  to the attendees under request. The necessary condition for the System to issue the certificate is that the attendee must participate with at least one voice question during the question time.\nLooking forward to seeing you.\nBest regards\,\nMònica Aragüés Peñalba – monica.aragues@upc.edu\nAssociate Professor at UPC and Resarcher at CITCEA-UPC\n(http://enotice.ieee.org/link.cfm?r=2t13DaV1ZQMWdxFUYxE9AA~~&pe=2r6s6cq1ZHJVREEnjcPg615Ax6pY5bB2EtOtT4-0u2m72qPy0vZwRE9mo5IxUHTUd3basEhCJ_h0e96RcJiJxA~~&t=dWSU4qsc8D7Oq-bfMacKwQ~~)\, Women in Power representative of IEEE PES Spanish Chapter\n(https://pes-women-in-power.org/) Region 8 Spanish representative\nSpeaker(s): J.L. Jochen Cremer\, Joan Marc Rodriguez\, Sara Barja\, Mònica Aragüés\, Marc Jené\, Antonio E. Saldaña\, Oscar Cabrera\, Adriano Caprara\nVirtual: https://events.vtools.ieee.org/m/421203
URL:https://ieeespain.org/event/ieee-pes-espana-artificial-intelligence-for-energy-systems-developments-from-tu_delft-and-citcea-upc/
LOCATION:Virtual: https://events.vtools.ieee.org/m/421203
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