Episode Details

Utility teams still treat load forecasting as a regression against temperature and industrial schedules. This episode argues that world is gone. Rooftop solar can flip the sign of the weather relationship, a passing cloud can return 40 megawatts in 90 seconds, and a midnight EV rate discount can synchronize 10,000 chargers into a spike that never existed before. Bolting DER signals onto the old model produces a more complicated wrong answer.

You come away knowing where the money leaks, through NERC reliability reports and rate cases where a 2% error becomes a nine-figure conversation, why endogeneity breaks price-sensitive models, what probabilistic forecasting with confidence bands gives operators, and why dbt Labs style version control keeps models auditable without telling you they are wrong.

Key takeaways

• List every rate change and demand response program launched in the last 18 months, then check whether your model has a variable that reacts to them.
• Stop treating weather as a one-directional driver, since rooftop solar can cut afternoon demand instead of raising it.
• Model EV charging as behavior shaped by your own price signals, not as a fixed 6 p.m. plug-in assumption.
• Publish a range with confidence bands rather than a single megawatt number, so operators know when to keep a reserve plant warm.
• Use pipeline tooling like dbt for auditability and speed of fixes, but cross-check vendor claims and treat model correctness as a human judgment.

Chapters
0:00 Why load forecasting stopped being solved
0:46 Rooftop solar flips the weather relationship
1:35 EV charging timers and rate-driven spikes
2:25 Forecast error in NERC reports and rate cases
3:30 Probabilistic forecasting and confidence bands
4:26 Audit your rate changes Monday morning

Go deeper, free lessons

• From smart meters to grid telemetry: the energy data stack
• Grid reliability rules: NERC standards and the cost of a blackout violation
• Rate cases decoded: how utilities justify prices to their regulator
• MLOps: monitoring, retraining & drift
• How wholesale power markets set the price of electricity

Full article and transcript: https://www.mba-training.com/blog/load-forecasting-utility-der-signals

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