5 papers · 1 filter
The value of hedging against energy storage uncertainties when designing energy parks
Max Langtry, Ruchi Choudhary
Energy storage is needed to match renewable generation to industrial loads in energy parks. However, the future performance of bulk storage technologies is currently highly uncerta…
Adapting to Change: A Comparison of Continual and Transfer Learning for Modeling Building Thermal Dynamics under Concept Drifts
Fabian Raisch, Max Langtry, Felix Koch +3
Transfer Learning (TL) is currently the most effective approach for modeling building thermal dynamics when only limited data are available. TL uses a pretrained model that is fine…
Quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the Value of Information
Max Langtry, Ruchi Choudhary
Load uncertainty must be accounted for during design to ensure building energy systems can meet energy demands during operation. Reducing building load uncertainty allows for impro…
Rationalising data collection for supporting decision making in building energy systems using Value of Information analysis
Max Langtry, Chaoqun Zhuang, Rebecca Ward +5
The use of data collection to support decision making through the reduction of uncertainty is ubiquitous in the management, operation, and design of building energy systems. Howeve…
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…