Segmenting Residential Smart Meter Data for Short-Term Load Forecasting. - Alexander J. M. Kell; A. Stephen McGough; Matthew Forshaw (e-Energy, 2018)

Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model. - Alexander J. M. Kell; Matthew Forshaw; A. Stephen McGough (e-Energy, 2019)

ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning. - Alexander J. M. Kell; Matthew Forshaw; A. Stephen McGough (e-Energy, 2019)

Optimising energy and overhead for large parameter space simulations. - Alexander J. M. Kell; Matthew Forshaw; A. Stephen McGough (IGSC, 2019)

Exploring market power using deep reinforcement learning for intelligent bidding strategies. - Alexander J. M. Kell; Matthew Forshaw; A. Stephen McGough (IEEE BigData, 2020)

Long-term electricity market agent based model validation using genetic algorithm based optimization. - Alexander J. M. Kell; Matthew Forshaw; A. Stephen McGough (e-Energy, 2020)

Optimizing carbon tax for decentralized electricity markets using an agent-based model. - Alexander J. M. Kell; A. Stephen McGough; Matthew Forshaw (e-Energy, 2020)

Modelling the transition to a low-carbon energy supply. - Alexander J. M. Kell (CoRR, 2021)

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 (Sustain. Comput. Informatics Syst., 2021)

Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning. - Alexander J. M. Kell; A. Stephen McGough; Matthew Forshaw (IEEE Big Data, 2022)

A systematic literature review on machine learning for electricity market agent-based models. - Alexander J. M. Kell; A. Stephen McGough; Matthew Forshaw (IEEE Big Data, 2022)

Machine learning applications for electricity market agent-based models: A systematic literature review. - Alexander J. M. Kell; A. Stephen McGough; Matthew Forshaw (CoRR, 2022)