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

doi:10.48550/arXiv.2405.17184

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

Integrated Energy Systems

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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.

Originalsprache	Englisch
Titel	IEEE PES Innovative Smart Grid Technologies Europe 2024
Seiten	1-5
Seitenumfang	5
DOIs	https://doi.org/10.48550/arXiv.2405.17184
Publikationsstatus	Veröffentlicht - 9 Aug. 2024
Veranstaltung	IEEE PES Innovative Smart Grid Technologies Europe 2024 - Sheraton Dubrovnik Riviera Hotel, Dubrovnik, Kroatien Dauer: 14 Okt. 2024 → 17 Okt. 2024 https://ieee-pes.org/calendar/2024-ieee-pes-innovative-smart-grid-technologies-isgt-europe/

Konferenz

Konferenz	IEEE PES Innovative Smart Grid Technologies Europe 2024
Kurztitel	IEEE PES 2024
Land/Gebiet	Kroatien
Stadt	Dubrovnik
Zeitraum	14/10/24 → 17/10/24
Internetadresse	https://ieee-pes.org/calendar/2024-ieee-pes-innovative-smart-grid-technologies-isgt-europe/

Research Field

Flexibility and Business Models

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A Pioneering Roadmap_Kremers_arXiv_2405.17184v3_24 08 09Endgültige, publizierte Fassung, 563 KB

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https://arxiv.org/abs/2405.17184

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title = "A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks",

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.",

keywords = "Planning tools, Electrical networks, AI",

author = "Jochen Cremer and Adrian Kelly and Bessa, {Ricardo J.} and Milos Subasic and Papadopoulos, {Panagiotis N.} and Samuel Young and Amar Sagar and Antoine Marot",

year = "2024",

month = aug,

day = "9",

doi = "10.48550/arXiv.2405.17184",

language = "English",

pages = "1--5",

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note = "IEEE PES Innovative Smart Grid Technologies Europe 2024, IEEE PES 2024 ; Conference date: 14-10-2024 Through 17-10-2024",

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}

Cremer, J, Kelly, A, Bessa, RJ, Subasic, M, Papadopoulos, PN, Young, S, Sagar, A & Marot, A 2024, A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks. in IEEE PES Innovative Smart Grid Technologies Europe 2024. S. 1-5, IEEE PES Innovative Smart Grid Technologies Europe 2024, Dubrovnik, Kroatien, 14/10/24. https://doi.org/10.48550/arXiv.2405.17184

TY - GEN

T1 - A Pioneering Roadmap for ML-Driven Algorithmic Advancements in Electrical Networks

AU - Cremer, Jochen

AU - Kelly, Adrian

AU - Bessa, Ricardo J.

AU - Subasic, Milos

AU - Papadopoulos, Panagiotis N.

AU - Young, Samuel

AU - Sagar, Amar

AU - Marot, Antoine

PY - 2024/8/9

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N2 - 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.

AB - 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.

KW - Planning tools

KW - Electrical networks

KW - AI

UR - https://arxiv.org/abs/2405.17184

U2 - 10.48550/arXiv.2405.17184

DO - 10.48550/arXiv.2405.17184

M3 - Conference Proceedings with Oral Presentation

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EP - 5

BT - IEEE PES Innovative Smart Grid Technologies Europe 2024

T2 - IEEE PES Innovative Smart Grid Technologies Europe 2024

Y2 - 14 October 2024 through 17 October 2024

ER -

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

Abstract

Konferenz

Research Field

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