IEEE PES ESPAÑA | [Webinar(3) 31.05.2024] | Artificial intelligence for energy systems. Developments from TU_DELFT and CITCEA-UPC
IEEE PES ESPAÑA | [Webinar(3) 31.05.2024] | THE ENERGY TRANSITION| [Webinar(4º) 31.05.2024] | Artificial intelligence for energy systems. Developments from TU_DELFT and CITCEA-UPC
From IEEE PES SPAIN we continue with the [Webinar] series on the topic
THE ENERGY TRANSITION | Towards a DECARBONIZED ECONOMY
The 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.
As 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.
This 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.
In 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.
In this webinar, researchers from CITCEA-UPC and TU-DELFT will explain their recent developments on artifcial intelligence applications for energy systems.
Title: Artificial intelligence for energy systems. Developments from TU_DELFT and CITCEA-UPC
Contents: 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.
Speakers: 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)
Moderator: Joan Marc Rodríguez
Date: May 31, 2024
Time: 10:00 - 13:00 (CET)
Language: English
Participation in these [Webinars] is open to everyone, including both PES Members and non-Members. However, REGISTRATION is necessary in order to receive the [Webinar] access link and URL to WebEx. The Connection link to this [Webinar(3) 31.05.2024] will be sent to the registrants by e-mail on the event day at 11:30 (CET).
The Registration closes at 9:30 (CET) on May 31 2024. The direct access to the REGISTRATION is at
https://events.vtools.ieee.org/event/register/421203
For further information: IEEE PES ESPAÑA | [Webinar(3) 31.05.2024]: https://events.vtools.ieee.org/m/421203
The IEEE PES ESPAÑA System issues participation certificates in these [Webinars] 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.
Looking forward to seeing you.
Best regards,
Mònica Aragüés Peñalba - monica.aragues@upc.edu
Associate Professor at UPC and Resarcher at CITCEA-UPC
IEEE PES Spain Chapter, Women in Power representative of IEEE PES Spanish Chapter
IEEE PES Women in Power Region 8 Spanish representative
Date and Time
Location
Hosts
Registration
- Date: 31 May 2024
- Time: 10:00 AM to 01:00 PM
- All times are (UTC+02:00) Madrid
-
Add Event to Calendar
- Starts 21 May 2024 03:00 PM
- Ends 31 May 2024 09:00 AM
- All times are (UTC+02:00) Madrid
- No Admission Charge
Speakers
J.L. Jochen Cremer of TU-Delft
Biography:
Dr. Jochen Cremer is the Co-Director of the TU Delft AI Energy Lab and an Assistant Professor at the Faculty of Electrical Engineering, Mathematics, and Computer Science. Jochen's research focuses on applying machine learning and data analytics to energy systems operation and control. His team develops new computational methods for system operation and control that combine statistical machine learning and mathematical optimisation.
More info: here
Joan Marc Rodriguez
Biography:
Dr. Joan Marc Rodriguez Bernuz received his bachelor's and master's degrees in energy engineering from the Polytechnic University of Catalonia (UPC) in 2013 and 2015, respectively. Later, he received the Ph.D. degree in electrical engineering from Imperial College London in 2019. After, he joined the Control and Power Research Group at Imperial College as a Research Associate. In October 2022, he joined the Department of Electrical Engineering at UPC as a Lecturer and joined the research group CITCEA-UPC. His research interests include the control of power converters for renewable energy technologies, microgrids, and HVDC power transmission, with a specific focus on applied predictive controllers.
Sara Barja
Biography:
Dr. Sara Barja holds a PhD in Electrical Engineering from the Universitat Politècnica de Catalunya (UPC). She did her Master's Degree in Industrial Engineering with a specialization in Energy from the UPC. She is currently Project Manager at CITCEA-UPC (Center for Technological Innovation in Static Converters and Drives), Co-director of the Master's Degree in Smart Energy and Scientific Coordinator of the Estabanell Chair in Smart Grids. Research areas: optimization of energy management system algorithms applied to prosumers and energy communities, artificial intelligence applied to the energy sector, flexibility market and electricity market.
Mònica Aragüés
Biography:
Dr. Mònica Aragüés Peñalba is Associate Professor in the Electrical Engineering Department at the Technical University of Catalonia (UPC) and a researcher at CITCEA-UPC (Centre of Technological Innovation in Static Converters and Drives). She has a PhD in Electrical Engineering from the UPC since 2016, with recognition from the European Institute of Technology (EIT). She teaches undergraduate and master's degrees at the ETSEIB-UPC. She is the Director of the Master in Smart Energy at the UPC School. She is the Director of the Estabanell Chair in Smart Grids. Her research areas include data science applied to power systems, optimization, grid integration of renewables, operation and control of photovoltaic solar plants, operation and control of offshore wind plants, active distribution grids, microgrids and HVDC-HVAC transmission systems.
Marc Jené
Biography:
Marc Jené is PhD student at UPC and Project engineer CITCEA-UPC.
Antonio E. Saldaña
Biography:
Antonio E. Saldaña González received his degree in Mechanical and Electrical Engineering from the Universidad Autónoma de Guadalajara (Mexico) in 2014. In 2017, he obtained a Master of Science in Electrical Engineering from the University of Guadalajara. In 2019, he joined the Ph.D. program in Electrical Engineering at the Polytechnic University of Catalonia, within the CITCEA research group. Currently, he is a member of the CERIEN chair and project engineer, participating in research and innovation activities in different European H2020 projects. His research interests include active distribution network planning, machine learning, optimization and smart energy management.
Oscar Cabrera
Óscar Cabrera Redondo is a PhD student at CITCEA-UPC in Barcelona, Spain. He obtained his Master's Degree in Energy Engineering from UPC, Barcelona, in 2022, and his Bachelor's Degree in Electrical Engineering from ULPGC, Las Palmas de Gran Canaria, in 2020.
Óscar's PhD research focuses on incorporating AI tools into the electrical grid to enhance its robustness and efficiency. He is particularly focused on developing distributed techniques that leverage computational resources from network nodes without compromising user privacy.
His work aims to integrate AI into power systems, fostering grid reliability and performance.
Adriano Caprara
Biography:
Adriano Caprara is PhD student at UPC and Project engineer CITCEA-UPC.
Media
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