INTEGRATED ENERGY STACK

The Intelligence Layer for
Modern Utilities

DEE’s Smart Bharat Integrated Energy Stack is an IoT-enabled, AI-driven platform that enables predictive asset monitoring, integrates with DISCOM digital systems, and provides real-time, data-driven decision support to enhance grid reliability, efficiency, and resilience.

Explore the Stack See the Impact
Predictive Analytics Engine
Processing Telemetry Data

AI STACK ACTIVE

Platform Architecture

Smart Bharat Capabilities

Transforming passive electrical networks into intelligent, self-monitoring digital ecosystems.

Predictive Asset Monitoring

Leverage IoT sensors and multi-layered AI models to predict potential asset failures. Detect thermal stress, neutral issues, and overloads before they manifest into widespread grid outages.

DISCOM Integration

Plug directly into existing utility digital networks. Formulate seamless, friction-free synchronization with legacy billing structures, SCADA systems, and enterprise tools without disrupting operations.

Real-Time Decision Support

Equip operators with actionable, prescriptive insights instantaneously. The engine automatically suggests load re-balancing, parallel feeder activations, or immediate maintenance schedules.

Substation AI-Driven IMS

Transform physical operations with a substation-wise Inventory Management System driven by AI. Automate procurement flags, predict spare part requirements based on wear markers, and make optimal deployment decisions autonomously.

Substation Alpha Active

AI-IMS Dashboard • Live Telemetry Sync

PREDICTIVE ACTION REQUIRED
11kV Transformer Bushing

Failure Predicted in 14 Days (Thermal Stress High)

0 in Stock
AI Action Auto-Ordered from Central Warehouse. ETA 48 hours.
DT Cooling Fan Assembly

Wear Degradation Profile Reached 85%

2 in Stock
AI Action Pre-allocating to pending maintenance ticket #9024.
Inventory & Logistics Edge

Substation-Wise
AI-Driven IMS

Bridge the critical gap between predictive digital analytics and physical logistics. Our intelligent Inventory Management System functions natively at the substation level, making autonomous procurement and routing decisions based on real-time asset wear-and-tear models.

  • Automated Procurement Flagging
    The AI engine automatically generates draft purchase orders the moment critical substation specific spares drop below the dynamic safety-stock thresholds predicted by the telemetry stream.
  • Condition-Based Spare Allocation
    Available inventory is not evenly distributed; it is dynamically re-allocated and dispatched explicitly to the substations displaying the highest probability of imminent failure (e.g. rising NSI or worsening Voltage Stress).
  • Integrated Actionable AI Interventions
    If spare parts are back-ordered, the AI seamlessly recommends operational compensations—such as activating parallel relief feeders or load-shedding—delaying asset explosion until the IMS verifies delivery.
New Connection Request #APP-8942

Consumer Indexing • GIS Engine

AUTO-APPROVED
Geo-Location
Dropped
Nearest Asset
Pole P-34 (42m)
Generated Bill of Materials (BOM)
AB Cable (16 sqmm)
45m IN STOCK
Smart Meter & Box
1 Set IN STOCK
Hardware Fittings
1 Kit IN STOCK
Smart Network Expansion

Consumer Indexing &
BOM Automation

Accelerate revenue realization by completely automating the new connection process. By integrating geospatial data with live inventory, we eliminate manual surveys and paperwork, ensuring rapid, error-free consumer onboarding.

80%

Faster Approvals

Zero

Manual BOM Errors

  • Precision Consumer Indexing
    Automatically map new applicants to the nearest distribution asset (pole or DT) using exact geospatial coordinates, ensuring 100% accurate energy auditing and electrical tracing from Day 1.
  • Auto-Calculated Bill of Materials (BOM)
    The GIS engine calculates the exact distance required to run lines, instantly generating a highly accurate, automated BOM covering cable lengths, meter boxes, and necessary hardware fittings.
  • Real-Time Stock Verification
    Before authorization, the generated BOM is instantly cross-referenced against your live IMS inventory. Connections are only approved and dispatched when physical stock availability is guaranteed, eliminating frustrating field delays.
  • Contractor & Field Force App Sync
    Approved connections with validated BOMs are instantly dispatched to the field force mobile app, providing crews with exact GPS coordinates and the pre-approved materials list required for the installation.
  • Accelerated Revenue Realization
    By drastically reducing the "Application to Connection" turnaround time, utilities can begin billing new consumers significantly faster, improving overall cash flow and drastically enhancing customer satisfaction.
Core AI Engines

Multi-Layered Predictive Analytics

Our proprietary machine learning models analyze 5+ telemetry dimensions continuously to detect structural stress before it leads to asset failure.

Thermal Stress

Detects overheating patterns based on ambient temperature matrices and continuous load profiles, calculating the exact percentage of insulation degradation over time.

Real-time

Neutral Stress

Identifies dangerous return-current imbalances indicating load distribution failures or ground faults, protecting transformers from catastrophic core saturation.

Protection Active

Phase Optimization

Continuously audits VR, VY, and VB load dispersion. Automatically detects asymmetric loads and generates phase-shifting recommendations to reduce technical losses.

Efficiency Boost

Voltage Abnormality Profiling

Maps cumulative instances of critical over/under voltage events against asset specifications, establishing a comprehensive breakdown profile that predicts the exact timeframe of insulation compromise and failure.

Reactive Power (pf) Stress

Analyses true power factor signatures in real-time, estimating the life of capacitor banks based on continuous KVAH injection rates, instantly flagging failing power correction infrastructure.

Generative AI

Meet your Utility AI Copilot

Transform how you interact with massive datasets. Instead of digging through endless dashboards, simply ask your AI Copilot in plain English. From predicting incipient failures to optimizing daily load distribution, your AI assistant is always on.

  • Natural Language Queries
    Ask questions like "Which feeders have the highest loss today?" and get instant, accurate answers compiled from thousands of data points.
  • Prescriptive Recommendations
    The AI doesn't just report problems; it suggests solutions. Get instant recommendations for load balancing, maintenance scheduling, and grid optimization.
  • Automated Reporting
    Generate daily health reports, comprehensive audit summaries, and predictive maintenance schedules instantly using generative AI models.
Smart Bharat Copilot
Can you give me a quick health summary of the North Zone substations?
You • 10:42 AM

I analyzed 42 substations in the North Zone. Here is the summary:

  • 39 are operating within normal parameters.
  • 2 have minor phase imbalances.
  • 1 (SST-North-12) is showing 85% Thermal Stress and predicting an incipient failure in 12 days.

Recommendation: Dispatch the North maintenance crew to inspect the cooling system of SST-North-12 immediately.

Grid Resilience

Driving Reliability & Efficiency

The Smart Bharat platform moves your utility beyond passive monitoring. It is an active ecosystem designed to drastically reduce system losses, automate complex energy auditing, and ensure uninterrupted power supply.

  • End-to-end hierarchy modeling from Zone to Consumer
  • Digital Twin GIS Mapping of all physical distribution assets
  • Automated DT-wise energy auditing for granular loss detection
Start Digitalizing Your Grid

IoT

Smart Sensors

24/7

Grid Reliability

100%

DISCOM Ready

AI

Failure Prevention