10 citations · 17 across the 5 of their papers we have counts for
5 papers
The electricity system value of the local acceptance of onshore wind in Europe
James Price, Guillermo Valenzuela-Venegas, Oskar Vågerö +11
The large-scale deployment of wind power is central to Europe`s energy transition but faces challenges due to its social and environmental impacts on communities. Here we assess ho…
TreeC: a method to generate interpretable energy management systems using a metaheuristic algorithm
Julian Ruddick, Luis Ramirez Camargo, Muhammad Andy Putratama +2
Energy management systems (EMS) have traditionally been implemented using rule-based control (RBC) and model predictive control (MPC) methods. However, recent research has explored…
Safe reinforcement learning for multi-energy management systems with known constraint functions
Glenn Ceusters, Luis Ramirez Camargo, Rüdiger Franke +2
Reinforcement learning (RL) is a promising optimal control technique for multi-energy management systems. It does not require a model a priori - reducing the upfront and ongoing pr…
Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs
Julian Ruddick, Evgenii Genov, Luis Ramirez Camargo +2
This paper presents a solution to a predict then optimise problem which goal is to reduce the electricity cost of a university campus. The proposed methodology combines a multi-dim…
Model-predictive control and reinforcement learning in multi-energy system case studies
Glenn Ceusters, Román Cantú Rodríguez, Alberte Bouso García +6
Model-predictive-control (MPC) offers an optimal control technique to establish and ensure that the total operation cost of multi-energy systems remains at a minimum while fulfilli…