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Analysis of Reinforcement Learning for determining task replication in workflows


Sep 14, 2022
Andrew Stephen McGough, Matthew Forshaw

* To appear at EPEW 2022 

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Long-term Reproducibility for Neural Architecture Search


Jul 18, 2022
David Towers, Matthew Forshaw, Amir Atapour-Abarghouei, Andrew Stephen McGough

* 4 pages, LaTeX, Typos corrected 

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Machine learning applications for electricity market agent-based models: A systematic literature review


Jun 05, 2022
Alexander J. M. Kell, Stephen McGough, Matthew Forshaw


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Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning


Sep 10, 2021
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw

* arXiv admin note: text overlap with arXiv:2011.04079 

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The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets


Mar 07, 2021
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw

* Published in Sustainable Computing: Informatics and Systems 

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Exploring market power using deep reinforcement learning for intelligent bidding strategies


Nov 08, 2020
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough

* Accepted at The 4th IEEE International Workshop on Big Data for Financial News and Data at 2020 IEEE International Conference on Big Data (IEEE BigData 2020) 

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Optimizing carbon tax for decentralized electricity markets using an agent-based model


May 28, 2020
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw

* Accepted at The Eleventh ACM International Conference on Future Energy Systems (e-Energy'20) AMLIES Workshop 

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Optimising energy and overhead for large parameter space simulations


Oct 06, 2019
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough

* Accepted for IGSC 2019 

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Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments


Oct 19, 2018
A. Stephen McGough, Matthew Forshaw, John Brennan, Noura Al Moubayed, Stephen Bonner

* Accepted for publication at THE 9th international Green and sustainable computing Conference, Technically Co-sponsored by IEEE Computer Society & STC Sustainable Computing, October 22-24, Pittsburgh, PA, USA 

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