MicrosoftExpandedProductionEvidence: Low40/100

Schneider Electric enables smarter, sustainable energy with AI and IoT solutions

Use case typeFault detectionUpdated Jun 13, 2026

Schneider Electric, in collaboration with Microsoft and Pacific Gas & Electric (PG&E), is transforming the energy and utilities industry by integrating AI, cloud analytics, and IoT solutions. This large-scale initiative focuses on deploying predictive maintenance, real-time outage management, and distributed energy resource management systems (DERMS) using the Microsoft Azure cloud platform. The partnership enables Schneider Electric and PG&E to optimize grid operations, enhance asset performance, increase workforce agility, and manage distributed energy resources for cleaner and more resilient energy delivery. Azure OpenAI Service and Copilot technologies are being used to support control center operations, accelerate decision-making, and improve reliability for utilities customers in North America and globally. Cybersecurity is addressed through Microsoft Defender for IoT, providing holistic protection of critical energy infrastructure across OT and IT. This approach supports broader sustainability and decarbonization goals, delivering new operational efficiencies and cleaner, more reliable energy to millions of customers.

Organization
Schneider Electric
Published
February 2024

Reported outcomes

Strategic outcomes

New product / capabilityDeployed distributed energy management systemsSpeed & agilityAccelerated outage operations and decision-makingRisk & complianceImproved cybersecurity for critical infrastructureSustainability & ESGSupported decarbonization and energy transition
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Schneider Electric, PG&E
Provider
Microsoft
Maturity
Production
Linked source
microsoft.com

This approach supports broader sustainability and decarbonization goals, delivering new operational efficiencies and cleaner, more reliable energy to millions of customers

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Predictive Maintenance for Grid Assets
  • 2AI-Driven Outage Management
  • 3DERMS (Distributed Energy Resource Management Systems) Implementation
  • Need to enhance asset performance and workforce productivity in the power and utilities industry.
  • Managing distributed energy resources sustainably while balancing reliability and efficiency.
  • Real-time outage management and mitigation of grid risks due to increasing integration of renewables.
  • Growing cyber threats targeting critical energy infrastructure.
  • Deployment of DERMS (Distributed Energy Resource Management Systems) on Azure.
  • Integration of Azure OpenAI Service and Copilot for AI-driven outage management and operations control.
  • Utilization of Azure IoT and intelligent edge for grid analytics, predictive maintenance, and both operational and customer data aggregation.
  • Implementation of Microsoft Defender for IoT for robust cybersecurity across the grid landscape.
  • Increased flexibility and resilience of power grids, accelerating clean and reliable energy delivery.
  • Operational efficiencies realized in grid and asset management.
  • Improved cybersecurity posture for critical energy and utilities infrastructure.
  • Support for decarbonization and energy transition initiatives.
Architecture

DERMS runs on Microsoft Azure and integrates distributed resources such as rooftop solar, storage, EVs and microgrids. Azure OpenAI and Copilot streamline control operations and predictive maintenance. Azure IoT aggregates operational and customer data at the edge for real-time analytics and response. Microsoft Defender for IoT protects both OT and IT layers of the grid.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2025.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Blog PostPublished: Feb 21, 2024Publisher: microsoft.comEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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