Synergistic integration between machine learning and agent-based modeling: A multidisciplinary review

W Zhang, A Valencia, NB Chang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Agent-based modeling (ABM) involves developing models in which agents make adaptive
decisions in a changing environment. Machine-learning (ML) based inference models can …

A systematic literature review on machine learning for electricity market agent-based models

AJM Kell, AS McGough… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The electricity market has a vital role to play in the decarbonisation of the energy system.
However, the electricity market is made up of many different variables and data inputs …

Machine learning applications for electricity market agent-based models: A systematic literature review

AJM Kell, S McGough, M Forshaw - arXiv preprint arXiv:2206.02196, 2022 - arxiv.org
The electricity market has a vital role to play in the decarbonisation of the energy system.
However, the electricity market is made up of many different variables and data inputs …

Learning, mean field approximations, and phase transitions in auction models

JP Pinasco, N Saintier, M Kind - Dynamic Games and Applications, 2024 - Springer
In this paper, we study an agent-based model for multi-round, pay as bid, sealed bid reverse
auctions using techniques from partial differential equations and statistical mechanics tools …

Modelling the transition to a low-carbon energy supply

A Kell - arXiv preprint arXiv:2111.00987, 2021 - arxiv.org
A transition to a low-carbon electricity supply is crucial to limit the impacts of climate change.
Reducing carbon emissions could help prevent the world from reaching a tipping point …

O setor elétrico entre as crises de 2001 e 2021: aprendizados, evoluções e propostas.

EE Rego - 2024 - teses.usp.br
O presente texto de sistematização crítica de parte da obra do candidato é feito recorrendo
tanto a artigos em revistas indexadas, quanto notas técnicas. As obras são apresentadas de …