A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks

Jochen Cremer, Adrian Kelly, Ricardo J. Bessa, Milos Subasic, Panagiotis N. Papadopoulos, Samuel Young, Amar Sagar, Antoine Marot

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

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Abstract

Advanced control, operation, and planning tools of electrical networks with ML are not straightforward. 110 experts were surveyed to show where and how ML algorithms could advance. This paper assesses this survey and research environment. Then, it develops an innovation roadmap that helps align our research community with a goal-oriented realisation of the opportunities that AI upholds. This paper finds that the R&D environment of system operators (and the surrounding research ecosystem) needs adaptation to enable faster developments with AI while maintaining high testing quality and safety. This roadmap serves system operators, academics, and labs advancing next-generation electrical network tools.
Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies Europe 2024
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 9 Aug 2024
EventIEEE PES Innovative Smart Grid Technologies Europe 2024 - Sheraton Dubrovnik Riviera Hotel, Dubrovnik, Croatia
Duration: 14 Oct 202417 Oct 2024
https://ieee-pes.org/calendar/2024-ieee-pes-innovative-smart-grid-technologies-isgt-europe/

Conference

ConferenceIEEE PES Innovative Smart Grid Technologies Europe 2024
Abbreviated titleIEEE PES 2024
Country/TerritoryCroatia
CityDubrovnik
Period14/10/2417/10/24
Internet address

Research Field

  • Flexibility and Business Models

Keywords

  • Planning tools
  • Electrical networks
  • AI

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