Alexander J. M. Kell

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 19

Top Topics

Electricity Markets

Agent Based Models

Reinforcement Learning

Top Venues

Publications

Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. Big Data (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
A systematic literature review on machine learning for electricity market agent-based models. Big Data (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Machine learning applications for electricity market agent-based models: A systematic literature review. CoRR (2022)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. Sustain. Comput. Informatics Syst. 30 (2021)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. CoRR (2021)
Alexander J. M. Kell
Modelling the transition to a low-carbon energy supply. CoRR (2021)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets. CoRR (2021)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization. CoRR (2020)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model. e-Energy (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Exploring market power using deep reinforcement learning for intelligent bidding strategies. IEEE BigData (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Exploring market power using deep reinforcement learning for intelligent bidding strategies. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Long-term electricity market agent based model validation using genetic algorithm based optimization. e-Energy (2020)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Optimizing carbon tax for decentralized electricity markets using an agent-based model. CoRR (2020)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model. e-Energy (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. e-Energy (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Optimising energy and overhead for large parameter space simulations. CoRR (2019)
Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough
Optimising energy and overhead for large parameter space simulations. IGSC (2019)
Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting. e-Energy (2018)