In this talk, Dr Renee Obringer will discuss a methodological framework that evaluates the impacts of climate change on the water-electricity demand nexus, focusing on water and electricity systems. The framework leverages a state-of-the-art statistical machine learning algorithm to simultaneously predict the coupled water and electricity demand as a function of the climatic conditions - toward providing utility managers with information on the future demand structure, which is imperative for improving urban resilience.
- Күн бұрын
Leveraging data analytics to study climate change impacts on critical infrastructure system
- Рет қаралды 50
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