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and knowledge systems into visions and scenarios for the energy transition. Mapping/visualising Indigenous knowledge of climate and weather to support energy forecasting and planning More broadly
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city size framework into dynamic land use–transport interaction (LUTI) models to enable scenario-based forecasting and planning under different infrastructure and policy conditions. Understanding
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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