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SISA Energy — Disaggregated building end-use dataset produced without physical submeters: utility interval feeds combined with BACnet, Modbus and BMS/DDC operational point data are run through analytical engines to isolate major loads (HVAC, lighting, process) at equipment level, with anomaly and opportunity detections, weather- and operations-normalized measure-and-verify baselines aligned to ASHRAE Guideline 14 and IPMVP, and ISO 50001-ready audit documentation. Stated operating scale: 200+ GWh of energy under service, 5,000+ equipment points monitored, 20 billion+ data points processed. Mi…
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Disaggregated building end-use dataset produced without physical submeters: utility interval feeds combined with BACnet, Modbus and BMS/DDC operational point data are run through analytical engines to isolate major loads (HVAC, lighting, process) at equipment level, with anomaly and opportunity detections, weather- and operations-normalized measure-and-verify baselines aligned to ASHRAE Guideline 14 and IPMVP, and ISO 50001-ready audit documentation. Stated operating scale: 200+ GWh of energy under service, 5,000+ equipment points monitored, 20 billion+ data points processed
Scale 20 billion+ data points processedFrom 4 yearsCoverage Industrials · Financials
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SISA Energy — Disaggregated building end-use dataset produced without physical submeters: utility interval feeds combined with BACnet, Modbus and BMS/DDC operational point data are run through analytical engines to isolate major loads (HVAC, lighting, process) at equipment level, with anomaly and opportunity detections, weather- and operations-normalized measure-and-verify baselines aligned to ASHRAE Guideline 14 and IPMVP, and ISO 50001-ready audit documentation. Stated operating scale: 200+ GWh of energy under service, 5,000+ equipment points monitored, 20 billion+ data points processed. Mi…
SISA Energy offers (Alternative, ESG, Fundamental) — 20 billion+ data points processed, across 200+ GWh of energy under service and 5,000+ monitored equipment points - these are hard figures published by the company rather than estimates.
Training non-intrusive load-monitoring and disaggregation models on algorithmic outputs cross-checked against real utility interval totals; healthcare and institutional energy benchmarking; retrofit and electrification sequencing with avoided service-upgrade analysis; grid flexibility and EV-charging readiness screening at the service entrance; verified-savings evidence for green financing and program measurement, reporting and verification; ISO 50001 and auditor-grade energy documentation; utility efficiency program evaluation baselines
The data is with 4 years of history.
Coverage spans Other, US; Environmental & Facilities Services, Financial Exchanges & Data; alternative, ESG, fundamental; equities.
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