📊 Unified Dashboards
Trends by building & site with weather normalization, peak demand, and cost overlays. Compare periods and export views for reports.
GreenElectron brings live monitoring, anomaly detection, and carbon estimation together in one modern dashboard — built for districts, cities, and facilities teams that want clarity, not complexity.
The core capabilities you’ll use every day.
Trends by building & site with weather normalization, peak demand, and cost overlays. Compare periods and export views for reports.
Surfaces schedule drift, weekend spikes, idle loads, and sensor glitches with clear plain-language explanations.
Converts kWh/therms to tCO₂e using grid-region factors. Track reductions by semester or fiscal year.
Clear trends, clean comparisons, and the right context to make decisions.
Drill from district-wide summaries into specific campuses, or regions. GreenElectron 2.0 will allow you to normalize by area and student population to compare fairly.
Spot high energy demand months that drive bills. Export charts for board packets with a click.
GreenElectron continuously scans for patterns that don’t look right and flags them, noting why
Compares between campuses/buildings and that building's specific usage.
Allows you to view specific meter usage and track it.
Every alert includes what changed, how big the impact is, and where to look first.
Transparent methods and clear units so everyone understands what the numbers mean.
Applies grid-region factors to translate electricity and gas into tCO₂e. Methods are documented and auditable.
Track goals over semesters or fiscal periods. See reductions tied to projects, policy, or behavior changes.
Flexible inputs so you can start with what you have and grow over time.
Works with CSV exports, and will be integrated with API once we recieve approval from PG&E. Currently handles monthly statements by meter (~3-4 per campus for each gas/electricity).
Uses algorithms to solve the issue of billing periods having differing lengths and bills ending on different days. Provides clear documentation of the method in the app.
Open-source foundation with a simple schema — easy to adapt, audit, and self-host.
Institution-friendly from day one.
Your data stays yours. Use local storage or connect to institutional databases as preferred.
Collect only what’s needed for analysis. Sensitive details can be anonymized at ingest.
Carbon factors, calculations, and alert logic are documented so stakeholders can trust the output.
Open-source with a quick start and demo data. See it in action or try it yourself.