74 citations · 74 across the 4 of their papers we have counts for
8 papers
Transformer World Model for Sample Efficient Multi-Agent Reinforcement Learning
Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou
We present the Multi-Agent Transformer World Model (MATWM), a novel transformer-based world model designed for multi-agent reinforcement learning in both vector- and image-based en…
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control
Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso
The rise of microgrid-based architectures is heavily modifying the energy control landscape in distribution systems making distributed control mechanisms necessary to ensure reliab…
Distributed Vehicle Grid Integration Over Communication and Physical Networks
Dimitra Apostolopoulou, Rahmat Poudineh, Anupama Sen
This paper proposes a distributed framework for vehicle grid integration (VGI) taking into account the communication and physical networks. To this end, we model the electric vehic…
Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast
Fatemeh Najibi, Dimitra Apostolopoulou, Eduardo Alonso
With increasing concerns of climate change, renewable resources such as photovoltaic (PV) have gained popularity as a means of energy generation. The smooth integration of such res…
Stochastic Hosting Capacity in LV Distribution Networks
Matthew Deakin, Constance Crozier, Dimitra Apostolopoulou +2
Hosting capacity is defined as the level of penetration that a particular technology can connect to a distribution network without causing power quality problems. In this work, we…
The Value of Reactive Power for Voltage Control in Lossy Networks
Matthew Deakin, Thomas Morstyn, Dimitra Apostolopoulou +1
Reactive power has been proposed as a method of voltage control for distribution networks, providing a means of increasing the amount of energy transferred from distributed generat…
Numerical Analysis of National Travel Data to Assess the Impact of UK Fleet Electrification
Constance Crozier, Dimitra Apostolopoulou, Malcolm McCulloch
Accurately predicting the future power demand of electric vehicles is important for developing policy and industrial strategy. Here we propose a method to create a representative s…
Loss Induced Maximum Power Transfer in Distribution Networks
Matthew Deakin, Thomas Morstyn, Dimitra Apostolopoulou +1
In this paper, the power flow solution of the two bus network is used to analytically characterise maximum power transfer limits of distribution networks, when subject to both ther…