Commercial building portfolio connected to Lumora energy analytics dashboards

Predictive portfolio operations

Energy decisions before the invoice arrives.

Lumora gives asset managers a live operating layer for demand forecasts, equipment drift, tariff exposure, and site-level savings across every commercial building.

18.4% median HVAC energy reduction
42 min to portfolio baseline
91% peak demand forecast accuracy
312 buildings actively monitored

Operating system for building energy

Replace monthly reporting with daily intervention.

Lumora turns meter, weather, occupancy, and equipment signals into a ranked action list for the teams who control energy spend.

6.2x faster anomaly triage
$4.8M avoidable spend identified
24/7 portfolio surveillance
Lumora dashboard showing forecasts, load curves, and portfolio alerts

What the platform controls

Every costly signal gets a clear owner.

Designed for portfolios where energy, maintenance, leasing, and finance teams all need the same version of operational truth.

Peak demand forecasting

Predict expensive demand windows before they hit the utility statement, with confidence bands by site and meter.

Tariff exposure modeling

Compare rate structures, demand response windows, and seasonal penalties against actual building behavior.

Equipment drift detection

Spot chillers, air handlers, and lighting zones that start consuming outside their normal operating signature.

Action-ranked queues

Prioritize work by dollar impact, carbon impact, comfort risk, and the team responsible for resolution.

Secure data ingestion

Connect meters, BMS exports, utility bills, occupancy feeds, and weather data without replacing your source systems.

Executive savings reports

Generate board-ready summaries that connect operational fixes to avoided spend, emissions, and tenant comfort.

Implementation model

From raw meters to weekly savings decisions.

The process keeps energy, facilities, and finance teams aligned around decisions.

1

Ingest

Connect building meters, BMS exports, utility statements, weather, and occupancy sources.

2

Baseline

Build a weather-normalized model for each site, meter, floor, and major equipment class.

3

Prioritize

Rank anomalies by recoverable spend, peak risk, comfort risk, and required owner.

4

Prove

Track impact after each intervention and report verified savings to finance and operations.

Building portfolio map with connected energy optimization paths

Portfolio command

A map of cost, comfort, and carbon risk.

Asset teams can see which buildings need attention today and why, without waiting for the month-end variance review.

  • Group sites by tariff type, equipment age, operating schedule, or energy intensity.
  • Compare weather-adjusted baselines across similar buildings and regions.
  • Route alerts to energy managers, facilities vendors, and finance stakeholders.

Proof by portfolio type

Case studies with operational detail.

Each story connects building behavior, financial impact, and an accountable next step.

University campus energy management case study artwork
CampusHVAC

Northbridge University

Reduced night-cycle HVAC waste across 18 academic buildings before the winter rate step-up.

View outcome
Hotel energy optimization case study artwork
HospitalityDemand

Arden Hotels

Shifted peak demand behavior while protecting guest comfort during summer occupancy spikes.

View outcome
Logistics energy monitoring case study artwork
LogisticsSolar

Meridian Freight

Balanced refrigeration load, solar production, and utility tariffs across regional warehouses.

View outcome

Customer voice

Regional healthcare portfolio

“Lumora changed our energy meetings from explaining variances to approving fixes.”
Mara Denslow VP Facilities Strategy, HelioCare Properties

Ready for a portfolio baseline?

See the savings hiding in this month’s load shape.

Use the pricing and contact paths to move from portfolio signal to implementation.