Read your grid like a book.
TEELS started a year ago as one energy consultant's Python script — the one that took twenty minutes to render a single client PDF. We rebuilt it as something interactive and turned it into a product. Now in private beta with a small group of energy consultants.
Most smart-meter data never gets opened — and the data that does get opened, takes too long.
Every site logs a kilowatt every fifteen minutes. That's about 35,000 rows per meter per year. One of us was an energy consultant running a homemade Python script that took twenty minutes to render a single client PDF — then twenty more if a customer asked one follow-up question. TEELS is what came out of refusing to keep doing that. It's for the people who actually have to write the report on Friday.
- Base load creep, year over year
- Ghost demand on idle weekends
- Peaks that don't match operations
- Weather-driven spikes hiding in plain sight
Six ways to look at the same year.
3D Load Surface
A whole year of weeks, stacked. Every spike, where and when it happened.
Four steps from a CSV to a finished report.
From 35,000 rows of CSV to a chart that fits on a screen.
A few of the people who use it.
Profile every connection on the grid. Notice a customer drifting before the substation does.
Find the night-shift base load nobody knew about. Bring it to your next tariff conversation.
Run twenty client reports a month, branded, in an afternoon instead of a fortnight.
Compare branches honestly. Which one is leaving the lights on Sundays?
Want to see your own data?
Twenty minutes on a call, your CSV or one of ours. No slide deck, no follow-up nurture sequence.