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GridGuardian AI: Real-Time Intelligence for Distributed Energy

GridGuardian AI is a decentralized orchestration platform for distributed energy resources (DERs), designed to turn isolated solar, storage, EV-charging, and generator assets into a unified, grid-ready energy fleet. It delivers predictive forecasting, automated dispatch, and enterprise-grade cybersecurity.
 

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The Grid Is Becoming Harder to Manage

Aging infrastructure, variable renewables, rising cyber threats, and unpredictable demand now cost the U.S. over $125B annually in outages and inefficiencies. Utilities and operators need adaptive, predictive control—not more hardware or one-off tools.

Distributed energy is growing fast, but without a unified intelligence layer, these assets stay fragmented and underutilized.

GridGuardian AI solves this.

Our Solution:
GridGuardian AI

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GridGuardian combines cloud forecasting, edge intelligence, encrypted field comms, and fleet orchestration to deliver resilient, predictable performance—even when the grid is unstable or communication is limited.

Precision Forecasting for Reliable Grid Dispatch

GridGuardian AI uses advanced machine learning to accurately forecast solar generation, load consumption, and battery availability at each site. It analyzes real-time weather, historical patterns, and local behavior to create highly accurate, site-specific predictions. These forecasts strengthen day-ahead commitments, reduce imbalance penalties, and give operators confidence in their available energy. The result is predictable, optimized dispatch across distributed assets.

Fleet Intelligence: Coordinated Energy Delivery from Distributed Sites

GridGuardian AI orchestrates distributed energy sites into one coordinated, utility-grade fleet. When energy is required, the platform uses real-time forecasts to determine how each site should contribute. Tailored instructions are sent to local edge controllers based on available solar, load, and storage conditions. This decentralized approach ensures precise, on-time delivery from the collective system.

Cybersecurity by Design

GridGuardian AI is built on a zero-trust security architecture with encrypted LoRaWAN communications and inline intrusion detection. A DMZ sandbox isolates insecure vendor networks to protect critical infrastructure. The system has undergone third-party security testing, resulting in eight assigned CVEs that validate its security posture. This ensures safe, resilient operation even in hostile environments.

Adaptive Integration

GridGuardian AI is designed for flexible deployment across both stationary and mobile energy systems. It works seamlessly with microgrids, distributed DER sites, and Ovanova’s Portable Energy Technology (PET). Whether powering a fixed facility or a deployable microgrid, the platform maintains consistent, intelligent control.

Built for the Real World

GridGuardian AI can be deployed as an overlay on existing infrastructure or integrated with new microgrid installations.

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1. Utilities & Electric Co-ops

  • Manage distributed assets

  • Reduce peak load

  • Improve restoration

  • Delay or avoid infrastructure upgrades

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2. Microgrid Owners & Developers

  • Optimize storage

  • Reduce operating costs

  • Improve uptime

  • Enable energy market participation​

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3. Mobile & Remote Operations

  • PET deployments

  • Disaster response

  • Construction sites

  • Field crews​

Technical Insights

GridGuardian AI transforms distributed energy assets into a reliable, intelligent fleet capable of precision dispatch at scale. At its core is an AI-powered forecasting engine that generates highly accurate, site-specific predictions for solar generation, consumption, and battery availability; turning uncertainty into confidence. When a utility requests energy, GridGuardian orchestrates a consensus-based dispatch across all sites, delivering exactly what's needed, exactly when it's needed. Each site’s edge computer runs autonomously with tailored instructions, ensuring seamless coordination, even in remote or disconnected environments. 

Under the hood, a robust Model Predictive Control (MPC) engine continuously optimizes schedules based on changing forecasts, constraints, and real-time conditions. With built-in cybersecurity, flexible integration across fixed and mobile systems, and a distributed architecture designed for resilience, GridGuardian AI delivers the intelligence, trust, and control required for next-generation grid participation.

This decentralized approach avoids single points of failure and aligns with NIST standards for secure energy systems.

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What GridGuardian AI Unlocks

1. Higher Reliability

Keep assets operating with predictable performance, even during instability.

2. Lower Operating Costs

Smarter dispatch, optimized storage, and reduced energy waste.

3. Mobile & Remote Operations

Instant adaptation to outages, demand spikes, or changing conditions.

4. Scalable Coordination

Manage one site—or hundreds—as a unified energy fleet.​

Experience forecasting, orchestration, and real-time control through a live platform walk-through.

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Let’s Build Smarter Energy Together

Explore how GridGuardian AI can strengthen your infrastructure, optimize operations, and defend against emerging threats.

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