This enables more power throughput on existing infrastructure during the vast majority of time when the grid isn’t critically congested.

Read the full report here: www.camus.energy/flexible-dat...

This is the same toolkit residential DER's offer with similar benefits to grid efficiency and growth. Pecan Street’s circuit-level data on EV charging, heat pumps, and other flexible loads shows they can shift demand during grid peaks.

This makes day to day load flexibility on the grid even more valuable than it is now. Residential resources like managed EV charging, home batteries, and other DERs can flex over longer intervals, not just a few peak demand hours, to help the grid operate economically and at a higher load factor.

A new Grid Strategies report shows that total electricity consumption is expected to grow faster than peak demand, shrinking the grid’s traditional downtime windows for maintenance and repairs. Read the full report here: lnkd.in/eWzvU4JA

Read the full report here eta-publications.lbl.gov/sites/defaul...

All of this makes customer-side resources more important than ever. Distributed solar and storage, managed EV charging, and demand response can reduce peak demand and maximize the T&D system while helping keep bills in check and improving resilience.

Historically, much of this spending was to replace aging infrastructure and harden the grid to natural disasters, but AI demand growth will likely fuel spending on T&D capacity expansion in the coming years.

As grid analytics and DER programs evolve, temporal precision is just as important as spatial precision.

Model validation and demand response depend on this level of visibility. AI and grid-simulation models need ground-truth signals that capture real, second-by-second load behavior instead of smoothed averages.

Those spikes at 180 Hz, 300 Hz, etc. are electrical gremlins, harmonics that make it harder to keep voltage ‘clean’ and can shorten the life of transformers and other distribution equipment. Read more here www.pecanstreet.org/publications...

The chart below shows how much current appears at the fundamental 60 Hz frequency (what utilities want) and how much creeps in as higher frequency harmonics (what utilities don’t want).

to deploy drones + AI as an “MRI for buildings,” targeting invisible leaks, insulation gaps, and inefficiencies in real-time.

We wrote about it here → www.pecanstreet.org/2025/09/lama...

As part of our Energy Equity Research Network (EERN) project, funded by the Alfred P. Sloan Foundation, Pecan Street is collaborating with Lamarr.AI, Georgia Institute of Technology, and Paradise Community Development Center

We’ve now expanded our dataset to include high-resolution waveform data, revealing an entirely new class of load signatures like this one. Read our latest whitepaper to learn more. www.pecanstreet.org/publications...

Pecan Street measures and stores ground-truth, circuit-level power data at high frequencies. These measurements enable the development of advanced algorithms for meter data disaggregation, grid modeling, and demand-response program design.

By combining circuit-level, one-second interval data with waveform measurements, we’re enabling a new era of energy system research.

Read the release and get the full whitepaper here: www.pecanstreet.org/publications...