21 citations · 33 across the 7 of their papers we have counts for
Showing 2024Show all
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eess.SY2024★ 3 cited
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…
eess.SY2024★ 6 cited
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…
eess.SY2024★ 21 cited
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…