activity
20192021
most citedElecSim: Monte-Carlo Open-Source Agent-Based Model to Inform Policy for Long-Term Electricity Planning

12 citations · 13 across the 6 of their papers we have counts for

collaborators

7 papers

econ.EM2021

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

Electricity supply must be matched with demand at all times. This helps reduce the chances of issues such as load frequency control and the chances of electricity blackouts. To gai…

cs.CE2020

Exploring market power using deep reinforcement learning for intelligent bidding strategies

Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough

Decentralized electricity markets are often dominated by a small set of generator companies who control the majority of the capacity. In this paper, we explore the effect of the to…

eess.SP20201 cited

Deep Reinforcement Learning in Electricity Generation Investment for the Minimization of Long-Term Carbon Emissions and Electricity Costs

Alexander J. M. Kell, Pablo Salas, Jean-Francois Mercure +2

A change from a high-carbon emitting electricity power system to one based on renewables would aid in the mitigation of climate change. Decarbonization of the electricity grid woul…

eess.SY2020

Optimizing carbon tax for decentralized electricity markets using an agent-based model

Alexander J. M. Kell, A. Stephen McGough, Matthew Forshaw

Averting the effects of anthropogenic climate change requires a transition from fossil fuels to low-carbon technology. A way to achieve this is to decarbonize the electricity grid.…

cs.MA2020

Long-term electricity market agent based model validation using genetic algorithm based optimization

Alexander J. M. Kell, Matthew Forshaw, A. Stephen McGough

Electricity market modelling is often used by governments, industry and agencies to explore the development of scenarios over differing timeframes. For example, how would the reduc…

cs.MA201912 cited

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

Due to the threat of climate change, a transition from a fossil-fuel based system to one based on zero-carbon is required. However, this is not as simple as instantaneously closing…