Paul Hubbs

During my time at Energeia, a boutique energy consulting firm, I worked on analytical projects focused on the evolving challenges of the energy transition. My role centered on building techno-economic models and conducting data-driven analysis to support utilities, public agencies, and other organizations as they plan for electrification, infrastructure investment, and long-term energy system changes. These projects often required integrating large datasets and evaluating how emerging technologies and policies could affect future electricity demand, emissions outcomes, and infrastructure needs.

Much of my work involved developing Excel-based modeling tools and performing large-scale data analysis using Python and SQL. These models evaluated issues such as building electrification adoption, electric vehicle growth, distributed energy resources, and long-term fuel and electricity price forecasts. The analysis helped clients assess the economic and operational impacts of different energy transition scenarios and informed planning efforts related to grid infrastructure, transportation electrification, and climate policy initiatives.

I also contributed to several consulting engagements supporting utilities, cities, and nonprofit organizations. In these projects I helped develop analytical inputs for energy system simulations, coordinated modeling workstreams across project teams, and supported the development of client-facing research reports and presentations. The work provided hands-on experience applying quantitative analysis and energy system modeling to real-world planning and policy challenges.