For utilities, ISOs, and grid planners. How utilities should plan generation, storage, transmission, and rapidly electrifying load in an era of variable resources and shifting demand. Includes my DOE work on $10B+ in IRA and IIJA programs — Home Energy Rebates, Building Codes, and Workforce Training — and recent research on physics-informed AI for electrical machines.

For regulators, RTO/ISO staff, and market participants. What wholesale markets must do differently when generation is variable, demand is flexible, DERs participate at scale, and large new loads come online faster than planners can model them. Includes work on FERC Order 2222, the California duck curve, and electricity price forecasting.

For utility CIOs, market participants, and policymakers managing the AI buildout. How AI and ML reshape both sides of the grid — improving forecasting, anomaly detection, and asset health on the supply side, while data-center loads add unprecedented demand on the consumption side. Includes my U.S. patent in ML data preprocessing, published work on anomaly detection in California prices, and physics-informed neural networks for maritime energy.

For utilities, federal agencies, and adaptation planners. Stranded-asset risk, climate-proofing critical infrastructure, and the financial-risk disclosure frameworks that price transition risk. Includes climate-energy nexus work and thought leadership in stranded-asset analytics.