Green Bank demonstrates near‑daily ESS dashboard and faster telemetry after PURA orders

The Connecticut Green Bank showcased a newly enhanced, public ESS data dashboard and described changes to the telemetry pipeline that materially shortened data latency. Brandon Smith said that prior workflows relied on DERMS providers exporting monthly CSVs, which meant the Green Bank often received a month’s data only in mid‑July for June events; after PURA Order 23, EnergyHub provides Snowflake Data Share access and Uplight established automated daily delivery, allowing Green Bank to ingest device telemetry and populate QC reports and preliminary scores within minutes to hours.

“Telemetry created by storage devices yesterday is available to Green Bank today,” Smith said, describing a daily ingestion cycle with a rolling 30‑day lookback to capture backfills and QA/QC corrections. He described event‑level flags (sign reversal, expected average power, null/missing intervals), the Green Bank’s automated scoring and device‑level QC, and weekly CSV performance reports shared with OEMs to enable faster detection and repair of data‑delivery or programming errors.

Caleb Smith (Green Bank) demonstrated the dispatch‑event metrics page, explaining the dispatch‑to‑call calculation (per‑event numerator/denominator averaged across events) and showing headline metrics—program long‑term dispatch‑to‑call ratio ~63.7% (66.9% active; 60.4% passive), lifetime aggregated energy dispatched ~1.4 GWh, and max single‑event fleet peak ~10.4 MW—while repeatedly noting the dataset is a living product that will change as backfills and QA/QC proceed.