• GE Vernova has launched GridOS for Transmission, a comprehensive software platform designed to enable near real-time, synchronized transmission grid operations
• At the flagship Orchestrate Conference, the company also unveiled two new artificial intelligence whitepapers focused on advancing grid planning and enabling autonomous grid-edge functionality

ATLANTA, GA., June 9, 2026 – GE Vernova (NYSE: GEV) today announced the launch of GridOS for Transmission and published two in-depth AI whitepapers addressing modern grid planning and self-governing distribution systems during Orchestrate 2026. This annual grid software summit unites utility executives, grid operators, and technology innovators to explore how intelligent software is transforming grid modernization amid soaring electricity demand and increasing system complexity.

“Addressing growing power needs goes beyond deploying more generation—it requires a smarter, more responsive grid capable of rapid coordination and adaptation,” said Philippe Piron, CEO of GE Vernova’s Electrification business. “Software now plays a pivotal role in shaping investment strategies, managing network performance, and reacting to dynamic grid conditions. The innovations revealed at Orchestrate reflect our belief that the future grid runs on intelligence—and that utilities must have access to that intelligence across every operational layer, from strategic planning to edge-level control.”

Orchestrate 2026: Advancing Grid Modernization Through Collaboration

Orchestrate serves as GE Vernova’s premier annual gathering for energy leaders and grid professionals to engage with cutting-edge software solutions redefining the evolution of power networks. This year’s event highlights the intensifying challenges confronting utilities—escalating load demands, expanded renewable integration, and increasing extreme weather events—alongside the critical role software plays in building resilience and agility.

The latest announcements reinforce GE Vernova’s stance that software is no longer an auxiliary component of the grid; it’s a foundational enabler of faster, integrated decision-making across planning and operations, offering the only viable path to solving coordination challenges too vast for manual oversight.

GridOS for Transmission

GE Vernova’s Grid Software division introduced GridOS for Transmission—a unified grid intelligence platform that enables holistic management and orchestration of the entire transmission network. By integrating near real-time operational data, capacity insights, predictive forecasting, and stability monitoring into one cohesive environment, GridOS for Transmission empowers utilities to accelerate control room decisions, maximize existing transmission infrastructure, and respond swiftly to shifting grid dynamics.

The platform consolidates intelligence from key transmission applications such as AEMS (Advanced Energy Management System), DDLR (Digital Dynamic Line Rating), WAMS (Wide-Area Monitoring System), and forecasting tools, while also incorporating DER management, Visual Intelligence, and asset behavior analytics. This creates a centralized, context-aware operational hub for grid operators.

This integrated approach allows utilities to minimize decision delays, operate closer to actual thermal and stability limits, detect potential instability earlier, and enhance response effectiveness during disruptions or periods of high stress.

New AI Whitepapers on Grid Planning and Grid-Edge Autonomy

GE Vernova released two new technical papers exploring distinct yet interconnected aspects of AI in utility operations, both developed by its Grid Automation and Software team.

“Reimagining the Grid Edge: Autonomous Distribution Technologies as the Key to Managing Decentralization and Enhancing Resilience” details how Autonomous Distribution (AD) systems allow utilities to detect, isolate, and restore outages in seconds instead of minutes. The paper examines AI-driven capabilities including adaptive zone configuration, predictive control mechanisms, software-defined architectures, and seamless integration with existing EMS and ADMS platforms. By enhancing operator control over distributed resources, AD strengthens grid resilience, adapts to fluctuating demand patterns, lowers operational costs, and improves efficiency—laying the foundation for a fault-tolerant grid in an increasingly decentralized energy ecosystem.

“AI in Grid Planning: Unlock Resilience, Faster Decisions, and Lower Costs” explores how artificial intelligence can transform long-term planning, interconnection studies, forecasting, and risk assessment—all supported by a continuously updated digital twin of the grid. Applications include reducing interconnection queues, evaluating non-wires alternatives, managing vegetation- and wildfire-related risks, preparing for storm events, and improving accuracy in load and generation forecasts.

Together, these publications highlight GE Vernova’s vision: utilities require intelligent systems spanning the entire grid lifecycle—from forward-looking capital planning to real-time control room and edge-level operations.

Source