Energy & Utilities

Turn Grid Sensor Data Into Real-Time Operational Intelligence

Use streaming SQL to instantly analyze IoT sensor data from across your grid, predict instabilities, and ensure consistent, reliable power delivery.

Live Grid Monitor
Region: US-WEST
Grid Frequency
60.02Hz
● Within range
Active Sensors
12,847
across 48 substations
Grid Load
38.4GW
capacity: 45.0 GW
Alert Status
NORMAL
no active alerts
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Trusted by 1,000+ Data-Driven Organizations

for Real-time Analytics

Trusted by 1,000+ Data-Driven Organizations for Real-time Analytics

The Problem

Is Your Grid Data Too Slow for Split-Second Decisions?

Traditional power grids rely on batch processing, leaving operators blind to critical events between reports. With volatile renewables and cascading failure risks, this latency creates unacceptable risk.

With RisingWave

Analyze and Act the Moment Data Is Generated

RisingWave processes sensor data as it arrives — no batching, no delay. Create streaming SQL queries that continuously monitor your grid and trigger alerts within milliseconds.

Real-Time Anomaly Detection
Detect voltage sags, frequency deviations, and power factor imbalances before they escalate into grid-threatening events.
Monitor Grid Load & Stability
Continuously track power consumption across your network. Identify overloaded circuits and transformers in real time.
Optimize Renewable Integration
Analyze solar and wind output fluctuations in real time for more efficient load balancing and a more resilient grid.
See RisingWave in Action: Energy Grid Monitoring
See how RisingWave processes real data in real time — not a recording, not a simulation.

An ISO (Independent System Operator) manages a 45GW regional grid. Grid frequency must stay within 59.95–60.05 Hz — deviations beyond this range trigger automatic load shedding. With 12GW of intermittent solar and wind, frequency stability is a second-by-second challenge.

SCADA polls every 4 seconds. A 180ms frequency excursion to 59.91 Hz caused a 2GW automatic load shed last summer because the control room saw it 3.6 seconds too late.
LIVEpmu_readings
pmu_idsubstationfrequency_hzvoltage_kvphase_anglerocofts
PMU-4401Riverside 345kV59.93344.2-2.14-0.082024-07-18T15:42:00.016Z
PMU-4401Riverside 345kV59.91343.8-2.31-0.122024-07-18T15:42:00.033Z
PMU-2208Mesa Verde 230kV59.96229.7-1.08-0.042024-07-18T15:42:00.016Z
PMU-2208Mesa Verde 230kV59.94229.5-1.22-0.062024-07-18T15:42:00.033Z
PMU-6615Clearwater 500kV60.01499.80.420.012024-07-18T15:42:00.016Z
PMU-3309Ironwood 138kV59.97137.9-0.73-0.032024-07-18T15:42:00.016Z
Streaming SQLRunning
Detect frequency excursions
CREATE MATERIALIZED VIEW frequency_excursions AS
SELECT
  pmu_id,
  substation,
  frequency_hz,
  voltage_kv,
  rocof,
  ts,
  CASE
    WHEN frequency_hz < 59.90 OR frequency_hz > 60.10 THEN 'CRITICAL'
    WHEN frequency_hz < 59.95 OR frequency_hz > 60.05 THEN 'WARNING'
  END AS severity,
  CASE
    WHEN rocof < -0.10 THEN 'ACCELERATING'
    WHEN rocof < -0.05 THEN 'DEVELOPING'
    ELSE 'STABLE'
  END AS trend
FROM pmu_readings
WHERE (frequency_hz < 59.95 OR frequency_hz > 60.05)
  AND ABS(rocof) > 0.05;
Correlate with generation-load balance
frequency_alertsauto-updating
substationfrequency_hzrocofseverityrecommended_actiondetected_at
Riverside 345kV59.91-0.12CRITICALSolar output drop at Mojave Flats Solar (84/300 MW)2024-07-18T15:42:00.033Z
Mesa Verde 230kV59.94-0.06WARNINGSolar output drop at Mojave Flats Solar (84/300 MW)2024-07-18T15:42:00.033Z
Sun Valley Solar 230kV59.95-0.05WARNINGLoad surge in Zone 4 South (3820 MW vs 3290 MW forecast)2024-07-18T15:42:00.016Z
RisingWave processes 50,000 PMU readings/second. When frequency at substation PMU-4401 drops to 59.93 Hz with rate-of-change at -0.08 Hz/s, the system dispatches battery reserves within 200ms.
Why RisingWave

Start Your Journey to a Smarter, More Resilient Grid

Use the power of streaming SQL to transform your grid operations and guarantee a higher standard of service.

Prevent Costly Power Outages
Move from reactive crisis management to proactive prevention by identifying grid-threatening issues in seconds, not hours.
Improve Grid Reliability & Safety
Ensure stable power delivery and the safety of your infrastructure by continuously monitoring load and stability across your entire network.
Balance the Grid with Confidence
Seamlessly integrate volatile renewable energy sources using real-time data, creating a more efficient, stable, and modern power grid.

Ready to Build a Smarter Grid?

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