21 citations · 21 across the 5 of their papers we have counts for
6 papers
Very Exciting: Zero-Shot Model Predictive Control of Buildings via Excitation-Based Generalized Transfer Learning Models
Fabian Raisch, Felix Koch, Zack Xuereb Conti +2
The widespread adoption of data-driven, energy-efficient model predictive control (MPC) in buildings remains hindered by substantial effort to collect data and train models for ind…
Fast Surrogate Models for Adaptive Aircraft Trajectory Prediction in En route Airspace
Nick Pepper, Marc Thomas, Zack Xuereb Conti
Trajectory prediction (TP) is crucial for ensuring safety and efficiency in modern air traffic management systems. It is, for example, a core component of conflict detection and re…
Geometric Principles for Machine Learning of Dynamical Systems
Zack Xuereb Conti, David J Wagg, Nick Pepper
Mathematical descriptions of dynamical systems are deeply rooted in topological spaces defined by non-Euclidean geometry. This paper proposes leveraging structure-rich geometric sp…
Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage
Max Langtry, Vijja Wichitwechkarn, Rebecca Ward +5
Data is required to develop forecasting models for use in Model Predictive Control (MPC) schemes in building energy systems. However, data is costly to both collect and exploit. De…
Energy Modelling and Forecasting for an Underground Agricultural Farm using a Higher Order Dynamic Mode Decomposition Approach
Zack Xuereb Conti, Rebecca Ward, Ruchi Choudhary
This paper presents an approach based on higher order dynamic mode decomposition (HODMD) to model, analyse, and forecast energy behaviour in an urban agriculture farm situated in a…
Value of Information Analysis for rationalising information gathering in building energy analysis
Max Langtry, Chaoqun Zhuang, Rebecca Ward +5
The use of monitored data to improve the accuracy of building energy models and operation of energy systems is ubiquitous, with topics such as building monitoring and Digital Twinn…