Common Questions

Frequently Asked Questions

Common questions about the platform, implementation, and compliance support.

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General

Digital infrastructure for corporate energy intelligence. It centralises energy data from fragmented sources, applies AI/ML for analysis and prediction, and provides verified reporting for sustainability compliance.

Traditional software focuses on monitoring—collecting data from sensors and displaying dashboards. Bharat Energy Stack begins with intelligence: using existing data to identify opportunities before hardware investment.

No. The platform delivers insights using existing data sources. When analysis identifies opportunities requiring real-time granularity, targeted sensor deployment can extend visibility—typically reducing hardware investment by 80-90%.

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Implementation

Basic data centralisation: 4-6 weeks. Full deployment including predictive models: 8-12 weeks. Timeline depends on sites, data sources, and integration requirements.

Utility accounts (automated or OCR), smart meters (AMI/AMR), building systems (BACnet, Modbus, LonWorks, OPC-UA), SCADA, solar inverters, DG monitoring, fuel management, and manual uploads.

Encryption in transit and at rest. Indian data centre hosting. Role-based access controls. SOC 2 Type II compliance.

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Analytics

Depends on data quality and pattern consistency. 24-hour forecasts typically achieve 95%+ accuracy for stable facilities. Monthly forecasts: 90-95%. All predictions include confidence intervals.

Yes. Utility bill analysis, correlated with weather and operational data, identifies 60-80% of optimisation opportunities.

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Compliance

Yes. BRSR-aligned disclosures with complete data lineage. Templates follow SEBI format. Documentation sufficient for third-party assurance.

CEA grid factors for Scope 2 location-based. IPCC factors for Scope 1. Supplier-specific factors where available for market-based. All selections documented with version control.

Yes. Baseline establishment, ongoing monitoring, intensity tracking, forecasting, and audit documentation aligned with CCTS requirements.

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Engagement

Based on sites, data sources, and modules deployed. Subscription models with annual terms. Implementation and training included.

Yes. Proof-of-concept covering 3-5 sites over 60-90 days. Pilot investment credited toward full deployment.

4-6
Weeks to deploy
95%+
Forecast accuracy
80-90%
IoT cost reduction
60-90
Days pilot period

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