10 citations · 20 across the 3 of their papers we have counts for
3 papers
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…
Predict+Optimize Problem in Renewable Energy Scheduling
Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25
Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…
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…