Machine Learning Applied to Solid-State Transformer Control: How AI
4 sources Traditional SST control: cascaded PID stack with constant gains, sub-optimal at off-design operating points. Three ML Read More
R&D milestones, lab testing, and experimental deployments
4 sources Traditional SST control: cascaded PID stack with constant gains, sub-optimal at off-design operating points. Three ML Read More
5 sources Verified EPB of Chattanooga and Oak Ridge National Laboratory are Read More
4 sources GICs are quasi-DC currents in grounded power-system portions from geomagnetic disturbances (solar storms). Iron-core transformer GIC Read More
4 sources NREL SuperFACTS: synchronous condenser + grid-forming BESS under unified controller. Synchronous condenser provides real inertia + reactive power; Read More
3 sources Infleqtion formally launched its 6.2 million dollar ARPA-E ENCODE contract in February 2026, applying 1,600-qubit neutral-atom quantum processors Read More
4 sources ~750M people lack electricity access globally; several hundred million more have intermittent/low-reliability service. DC microgrid Read More
4 sources V2X scope: V2G (grid), V2H (home), V2B (building), V2L (load) — bidirectional Read More
4 sources Optimized rural microgrid energy cost: ~$0.16/kWh at 92% renewable fraction. Representative 200-household design: 50 kW PV + 12 kWh BESS/Read More
4 sources Verified Industrial facilities with peak demand charges above $15 per kilowatt Read More
4 sources Drew Baglino: nearly 20 years at Tesla, rose to SVP Powertrain + Energy (second-highest engineering role). Tesla engineering Read More