Edge AI in Smart Metering: KEW’s Vision for the Future of Energy Intelligence

Introduction

At Krishna Electric Works (KEW), we have been trusted for over three decades in delivering reliable metering and instrumentation solutions. As the energy sector undergoes digital transformation, KEW is taking a bold step forward by embedding Edge AI into our metering products — making them not just measuring devices, but intelligent systems.

With Edge AI, our meters can now learn, detect, and act instantly — without relying on cloud servers. This means faster insights, lower costs, improved reliability, and higher security.

The Limitations of Traditional Meters

Conventional metering relies on fixed thresholds and periodic logging:

• They raise alerts only when values cross hard-coded limits.

• Subtle deviations go unnoticed until they cause real damage.

• Analysis often depends on cloud platforms — adding latency, cost, and security risks.

For today’s fast-moving industrial, commercial, and renewable environments, this is no longer enough. That’s why KEW meters with Edge AI are designed to go beyond monitoring — into prediction, diagnosis, and prevention.

KEW Edge AI: Smarter Meters for Smarter Energy

Here’s how KEW is applying Edge AI in our metering product line:

1. Anomaly Detection

Detects unusual patterns in load or power quality that traditional meters miss.
👉 Example: Identifying a sudden current drop during peak operations, signaling failing equipment or possible tampering.

2. Pattern Recognition

Learns recurring daily, weekly, and seasonal consumption profiles.
👉 Example: Distinguishing between normal weekday load curves and unexpected weekend surges in commercial malls.

3. Source Identification

Pinpoints the exact source of disturbances.
👉 Example: Locating that a specific industrial motor is generating harmonics affecting the entire MCC panel.

4. Time-Series Forecasting

Predicts future energy usage and voltage fluctuations.
👉 Example: Forecasting mid-day solar surges in renewable microgrids for better storage and distribution planning.

5. Predictive Maintenance

Identifies early signs of equipment failure.
👉 Example: Alerting facility managers of gradual degradation in compressors, motors, or transformers before breakdowns occur.

Benefits for KEW Customers

By bringing intelligence to the edge, KEW metering solutions deliver:

• Real-Time Insights: Decisions in milliseconds, not hours.

• Operational Reliability: Prevent failures before they cause downtime.

• Lower Costs: Eliminate heavy cloud infrastructure needs.

• Data Privacy & Security: Usage data remains local, protected by embedded cryptography.

• Future-Readiness: AI models and firmware can be updated securely over time.

KEW’s Technology Approach

To achieve this, KEW leverages:

• Lightweight AI Models (LSTM, GRU, Random Forest) trained for embedded environments.

• On-Device Inference on optimized microcontrollers and processors.

• Embedded Security with secure boot, encryption, and DLMS/COSEM compliance.

• Tailored Industry Applications for utilities, OEM panels, factories, and renewable systems.

Conclusion

KEW is building the future of metering — where devices don’t just measure, but think, predict, and secure. With Edge AI-powered smart meters, we are enabling industries, utilities, and communities to achieve higher efficiency, reliability, and sustainability.

📩 To learn more about KEW’s AI-enabled smart metering solutions, contact us at lalit@kewdelhi.com or visit www.kewdelhi.com