12 citations · 13 across the 9 of their papers we have counts for
11 papers
Insights from the Use of Previously Unseen Neural Architecture Search Datasets
Rob Geada, David Towers, Matthew Forshaw +2
The boundless possibility of neural networks which can be used to solve a problem -- each with different performance -- leads to a situation where a Deep Learning expert is require…
Analysis of Reinforcement Learning for determining task replication in workflows
Andrew Stephen McGough, Matthew Forshaw
Executing workflows on volunteer computing resources where individual tasks may be forced to relinquish their resource for the resource's primary use leads to unpredictability and…
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
A lowering in the cost of batteries and solar PV systems has led to a high uptake of solar battery home systems. In this work, we use the deep deterministic policy gradient algorit…
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Electricity supply must be matched with demand at all times. This helps reduce the chances of issues such as load frequency control and the chances of electricity blackouts. To gai…
Exploring market power using deep reinforcement learning for intelligent bidding strategies
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Decentralized electricity markets are often dominated by a small set of generator companies who control the majority of the capacity. In this paper, we explore the effect of the to…
Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs
Alexander J. M. Kell, Pablo Salas, Jean-Francois Mercure +2
A change from a high-carbon emitting electricity power system to one based on renewables would aid in the mitigation of climate change. Decarbonization of the electricity grid woul…