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SEER - Sustainable Electricity Expansion Roadmaps: Democratizing power systems planning for a robust and sustainable energy transition

PI and co-PIs: Mohini Bariya (Rhiza Research, United States); June Lukuyu (University of Washington, United States); Joshua Adkins (Rhiza Research, United States); Genevieve Flaspohler (Rhiza Research, United States)

Funding amount: $149,746.16

Project overview: Electric power systems — as the enablers of clean energy supply — are at the heart of global decarbonization goals; planning power systems to efficiently and effectively integrate renewable sources is crucial to achieving decarbonization quickly and affordably. However, power systems planning is hindered by the inaccessibility and fragmentation of requisite data sets and tools, resulting in insufficient planning across the Global South that hinders effective policy and investment. This project will build an open dataset for the development of machine learning tools – such as automated input data generation and optimization proxies – that increase the accessibility of power systems planning in Global South contexts. By closely collaborating with planning practitioners and users, the project will set a path toward highly accessible, flexible, and fast power systems planning that empowers diverse energy sector stakeholders to actively participate in planning efforts. Ultimately, ML-powered power systems planning that is fast, scalable, and accessible will provide richer and more robust insights to policy-makers and others, better positioning them to achieve energy-transition objectives.

Power & Energy Optimization Unsupervised & Semi-Supervised Learning