IoT-integrated energy monitoring platform with real-time grid operations dashboard, sustainability KPI tracking, and predictive maintenance analytics for a regional utility provider.
Grid operators lacked real-time visibility across distributed energy assets. IoT sensor data from hundreds of substations was collected but never synthesized. Sustainability reporting was manual, inconsistent, and always weeks behind. Maintenance was purely reactive — equipment failures caused costly, unplanned outages.
We built a unified IoT data integration layer connecting all sensor feeds, designed a real-time Power BI operations command center for grid visibility, created sustainability KPI dashboards aligned with ESG reporting requirements, and developed predictive maintenance analytics using ML-based anomaly detection on sensor time-series data.
Grid operations teams gained second-level visibility across all assets. Predictive maintenance reduced unplanned outages by 22% in the first 6 months. Sustainability reporting that previously took weeks now generates automatically. CO₂ emissions data — 12.4 tonnes tracked monthly — is now reported to regulators in real time.
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Key Results
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Technical Stack