Alexander J. M. Kell

Orcid: 0000-0003-3100-4306

Affiliations:
  • Newcastle University, UK


According to our database1, Alexander J. M. Kell authored at least 12 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Machine learning applications for electricity market agent-based models: A systematic literature review.
CoRR, 2022

A systematic literature review on machine learning for electricity market agent-based models.
Proceedings of the IEEE International Conference on Big Data, 2022

Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
The impact of online machine-learning methods on long-term investment decisions and generator utilization in electricity markets.
Sustain. Comput. Informatics Syst., 2021

Modelling the transition to a low-carbon energy supply.
CoRR, 2021

2020
Optimizing carbon tax for decentralized electricity markets using an agent-based model.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Long-term electricity market agent based model validation using genetic algorithm based optimization.
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020

Exploring market power using deep reinforcement learning for intelligent bidding strategies.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Optimising energy and overhead for large parameter space simulations.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

ElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

Modelling Carbon Tax in the UK Electricity Market using an Agent-Based Model.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018


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