Sizing of district heating systems based on smart meter data: Quantifying the aggregated domestic energy demand and demand diversity in the UK

Z Wang, J Crawley, FGN Li, R Lowe - Energy, 2020 - Elsevier
The sizing of district energy systems involves a trade-off between reliability and continuity of
service, and avoidance of capital and running costs associated with oversizing. Finding the …

Multiscale design for system-wide peer-to-peer energy trading

T Morstyn, I Savelli, C Hepburn - One Earth, 2021 - cell.com
The integration of renewable generation and the electrification of heating and transportation
are critical for the sustainable energy transition toward net-zero greenhouse gas emissions …

[HTML][HTML] Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility

F Charbonnier, B Peng, J Vienne, E Stai, T Morstyn… - Applied Energy, 2025 - Elsevier
This paper investigates the use of deep multi-agent reinforcement learning (MARL) for the
coordination of residential energy flexibility. Particularly, we focus on achieving cooperation …

Balancing of Low-Voltage Supply Network with a Smart Utility Controller Leveraging Distributed Customer Energy Sources

D Mtolo, D Dorrell, R Pillay Carpanen - Energies, 2023 - mdpi.com
In South Africa, there has been a rapid adoption of solar power, particularly inverter-based
solar sources, in low-voltage (LV) networks due to factors such as load shedding, rising …