Navid Haghdadi is a senior data scientist specialising in demand forecasting and the technical impacts of distributed energy resources, with nine years of industry experience and a PhD in Photovoltaic and Renewable Energy Engineering from UNSW. At Ausgrid he models how rooftop PV and batteries alter network demand patterns, drawing on a decade-plus research background in PV systems that spans academic, consulting and national-mapping roles. He has bridged research and practice as a CEEM postdoc, APVI solar data analyst responsible for national PV mapping tools, and an adjunct senior lecturer at UNSW. Navid combines deep domain knowledge in PV performance, grid integration and forecasting with hands-on data analysis and modelling, and a track record of turning large, messy solar datasets into actionable insights for network planning. An understated strength is his experience leading both technical data platforms (APVI mapping projects) and applied network forecasting, giving him rare fluency across research, tools and operational decision-making.
9 years of coding experience
11 years of employment as a software developer
Master’s Degree, Electrical Engineering, Power Systems and High Voltage Technology, Master’s Degree, Electrical Engineering, Power Systems and High Voltage Technology at University of Tehran
Doctor of Philosophy (Ph.D.), Photovoltaic and Renewable Energy Engineering, Doctor of Philosophy (Ph.D.), Photovoltaic and Renewable Energy Engineering at UNSW Australia
Contributions:2 PRs, 109 pushes, 3 branches in 3 years 10 months
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Navid Haghdadi - Senior Data Scientist - Demand Forecasting