From probabilistic forecasting to real-time optimization, GridSeer’s software suite helps energy professionals reduce uncertainty, improve efficiency, and strengthen grid resilience.
AI-driven probabilistic forecasting for demand, renewables, and weather
Risk-aware unit commitment scheduling for cost- efficient dispatch.
achine learning-enhanced optimization for rapid decision-making.
A real-time energy management system integrating forecasting, scheduling, and control.
The Gridseer Forecast+ dashboard for Duke Energy delivers high-quality, up-to-date forecasts for week-ahead electricity demand and photovoltaic (PV) generation across the two balancing authorities of Duke Energy: Duke Energy Carolinas (DEC) and Duke Energy Progress (DEP).
The top row provides real-time insights, displaying: (left) the current electricity demand in each region; (middle) a rolling average of historical demand over the past several days; (right) the highest (peak) demand recorded in recent days. The bottom row visualizes historical demand in gray alongside five probable future demand scenarios, each represented in distinct colors. The same structured insights are available for PV generation and other variable renewable energy sources.
Smarter Forecasting for a Volatile Energy Landscape
GridSeer Forecast+ uses AI and probabilistic modeling to deliver accurate, scenario-based forecasts for demand, weather, and renewable generation. It replaces outdated forecasting tools with a dynamic platform that reflects real-world uncertainty—helping you plan with confidence.
Key Features:
Best For: Grid operators, utilities, and energy managers preparing for variable conditions.
Risk-Aware Scheduling That Cuts Costs and Increases Confidence
SmartCommit takes traditional unit commitment to the next level by incorporating risk into the optimization process. It enables cost-efficient, data-driven decisions without compromising grid reliability.
Key Features:
Best For: Utility schedulers, operations planners, and energy market participants.
Next-Level Optimization with Machine Learning
SmartCommit+ builds on SmartCommit by applying machine learning to accelerate and refine the commitment process. It learns from past scheduling data to reduce solve times by up to 50%—delivering faster results and better resource alignment.
Key Features:
Best For: High-frequency scheduling teams and adaptive energy systems.
Real-Time Control Meets Intelligent Forecasting
GridSeer EMS is an integrated energy management system that unifies forecasting, scheduling, and real-time control. Designed for complex grid environments, EMS gives operators complete situational awareness and decision support through a single platform.
Key Features:
Best For: Utilities, microgrids, campuses, and large energy users with real-time control needs.
Let’s Find the Right Fit for Your Energy Goals. Whether you're integrating renewables, reducing peak demand, or preparing for real-time grid control, GridSeer has a product for you. Let us walk you through a tailored demo or help you compare features.
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