Alexander J. M. Kell

19 papers B 2Journal 10Unranked 7

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