About Diego Moya
Diego holds a PhD from Imperial College London in the field of Energy Economics, Transition and Policy. He is currently working at Saudi Aramco as part of the Energy Traceability Technology's Archie team. Diego is also an academic visitor in the Energy Systems Modelling Group at Imperial College. His area of research is based on geoAI, GIS, big data analytics and agent-based approaches to assess global decarbonisation pathways of the energy sector, considering the spatiotemporal dependencies and the human dimension. Diego also combines life cycle assessment with integrated assessment modelling.
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Heterodox school of thought, geoAI-ML, big data analytics, and agent-based modelling to represent the human dimension in climate-energy-economic models
In most climate-energy-economy models, a key assumption rules analysis. Millions of consumers are deliberately represented as a single agent that takes prices as given, making rational choices with perfect knowledge of markets under rational expectations to maximize welfare under budget constraints.