From forced-outage analysis to battery revenue, every one is a real app teams ship in weeks, with the industry’s KPIs and source systems already understood and validated by GlassBox AI. Start with a flagship use case, each with its own walkthrough.
Fourteen production-grade use cases, each on its own page. Six include a short explainer video today, and more are in production.
Browse the complete set of native energy and utility apps by category.
Short- and long-term forecasts at system, feeder, and customer level, including the data-center and electrification load growth reshaping your peak.
Compute IEEE 1366 reliability indices automatically and pinpoint chronic outage clusters by feeder, circuit, and cause.
Forecast outage probability and crew needs ahead of storms by fusing weather, asset, and AMI last-gasp signals.
Score transformers, breakers, and lines by condition and consequence to target capital where failure risk is highest.
Model feeder thermal and voltage headroom to clear the DER interconnection queue faster.
Detect voltage excursions, harmonics, and flicker to support CVR and power-quality programs.
Track thermal-unit efficiency and flag degradation against design curves across the fleet.
Predict turbine, HRSG, and balance-of-plant failures from sensor anomalies before they become forced outages.
Monitor wind, solar, and BESS output, curtailment, and degradation against resource forecast.
Optimize unit commitment and fuel burn against load and market price signals.
Monitor read completeness, VEE exceptions, and estimated-bill rates across the AMI fleet to protect revenue.
Detect non-technical loss, tampering, and bypass from interval-data anomalies and energy-balance gaps.
Surface usage patterns, high-bill alerts, and rate-plan fit to power customer-facing programs.
Simulate TOU and demand-rate scenarios and quantify bill impacts across customer classes for rate cases.
Shadow-settle ISO charge codes and reconcile invoices to catch discrepancies before they cost you.
Track real-time positions, mark-to-market, and credit exposure across power and renewables.
Analyze LMP, basis, and FTR/CRR value across nodes and zones to inform bidding and hedging.
Optimize DA/RT bids, ancillary offers, and storage dispatch against forecast prices.
Measure DR/VPP event delivery and verify behind-the-meter DER dispatch and settlement.
Quantify dynamic ignition risk and support PSPS, hardening, and vegetation prioritization.
Track the generation emissions inventory and produce GHGRP and ESG disclosures that are sourced and audit-ready.
Generate GADS event and performance records with EFOR/EAF automatically. No manual spreadsheets at quarter close.
See DOTA AI build a real utility app on your data in a 30-minute working session.