Field Notes
Written by people who have worked in BMS control rooms. Covers demand charge exposure, predictive HVAC scheduling, BACnet integration, and the honest math behind energy optimization ROI.
Most energy monitoring tools tell you what happened. The question that saves money is what will happen in the next 48 hours — and whether your schedules are ready for it.
Setpoint adjustments are the reflex response. Predictive schedule optimization is the structural answer. Here is the difference in practice and what it means for your bill.
After connecting to dozens of industrial BMS systems, we have identified five recurring waste patterns that account for most of the demand charge exposure. Almost none require capital investment to fix.
The academic literature on building load forecasting favors gradient boosting. Production deployments favor something more nuanced. Here is what we learned building models that actually run in facilities.
Energy optimization does not have to mean hot offices or slower production lines. The data from our deployments consistently shows that predictive scheduling achieves both — because it optimizes timing, not comfort targets.
Utility demand response programs can pay you to curtail load during peak grid events. Whether predictive scheduling makes participation easier — or harder — depends on how your program is structured.
From initial protocol assessment to first automated schedule write — a detailed walkthrough of what the integration process looks like across the BMS platforms we have connected to.
Most ROI calculations for energy software are optimistic because they ignore weather normalization. Here is how to calculate a defensible number your CFO will not push back on.
Night setback is the oldest energy management trick in the book. Predictive scheduling is what happens when you combine setback logic with a 48-hour load forecast. The gap in outcomes is larger than most people expect.
The kWh data from predictive scheduling is directly usable for Scope 2 emissions calculations and ENERGY STAR benchmarking. Here is how to turn operational savings into ESG reporting assets.
A 15-minute coincident peak in a compressor startup cycle can cost thousands of dollars. This is a detailed walkthrough of how predictive load shifting prevents these events from happening.
FDD tells you something is broken. Optimization assumes your equipment is functioning correctly and asks: given that it works, is it being scheduled to minimize cost? They solve different problems.
We closed our angel round in November 2025. This is where that capital goes — and what it means for facility managers on our waitlist and in our pilot program.