Výsledky vyhledávání - "O'Sullivan, Aïdan"

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Learning to run a Power Network Challenge: a Retrospective Analysis

Autor: Marot, Antoine, Donnot, Benjamin, Dulac-Arnold, Gabriel, Kelly, Adrian, O'Sullivan, Aïdan, Viebahn, Jan, Awad, Mariette, Guyon, Isabelle, Panciatici, Patrick, Romero, Camilo

Publikováno v: Proceedings of Machine Learning Research, 2021 NeurIPS 2020 Competition and Demonstration Track

Power networks, responsible for transporting electricity across large geographical regions, are complex infrastructures on which modern life critically depend. Variations in demand and production profiles, with increasing renewable energy integration

Externí odkaz: http://arxiv.org/abs/2103.03104

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Reinforcement Learning for Electricity Network Operation

Autor: Kelly, Adrian, O'Sullivan, Aidan, de Mars, Patrick, Marot, Antoine

This paper presents the background material required for the Learning to Run Power Networks Challenge. The challenge is focused on using Reinforcement Learning to train an agent to manage the real-time operations of a power grid, balancing power flow

Externí odkaz: http://arxiv.org/abs/2003.07339

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Akademický článek

Preliminary assessment on the effects of line width, layer height and orientation on strength and print time for FDM printing of total contact casts for the treatment of diabetic foot ulcers

Autor: Mulcahy, Niall, O'Sullivan, Kevin J., O'Sullivan, Aidan, O'Sullivan, Leonard

Publikováno v: In Annals of 3D Printed Medicine August 2023 11

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Don't go chasing artificial waterfalls: Simulating cascading failures in the power grid and the impact of artificial line-limit methods on results

Autor: Bourne, Jonathan, O'Sullivan, Aidan, Arcaute, Elsa

Research into cascading failures in power-transmission networks requires detailed data on the capacity of individual transmission lines. However, these data are often unavailable to researchers. As a result, line limits are often modelled by assuming

Externí odkaz: http://arxiv.org/abs/1907.12848

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