At GridSeer, we understand that the energy landscape is rapidly evolving. With increasing demand for sustainable solutions, integration of renewable energy sources, and the pressing need for enhanced reliability, energy providers face unprecedented challenges. That’s where we come in.
GridSeer is a new venture focused on commercializing advanced energy management solutions developed at Duke University’s GRACE Lab. GRACE is an AI software suite developed with $2.5 million in funding under ARAPA-E’s PERFORM program to improve forecasting of electric grid outcomes and assess operator risk. GridSeer's mission is to empower energy providers with smarter tools for optimizing grid performance, reducing costs, and achieving sustainability goals.
The key challenge we’re addressing with GridSeer is the difficulty of integrating renewable energy sources like wind and solar into electricity grids. While crucial for a sustainable future, these sources are unpredictable, making it hard for providers to balance supply and demand. As energy demand grows, especially with more "prosumers"—those who produce and consume energy—the need for smarter tools becomes critical to avoid higher risks, costs, and reduced reliability.
GridSeer is an energy management system that helps energy users improve grid reliability, handle risk and load growth, and address energy unpredictability in an economical and sustainable way.
GridSeer uses probabilistic forecasting and risk awareness to go beyond traditional models. Instead of providing just a "most likely" scenario, it evaluates multiple possibilities, enabling providers to make smarter, more cost-effective decisions on energy loads and resource deployment.
GridSeer isn’t just a forecasting tool—it’s a decision-making platform. Using Artificial Intelligence tools, GridSeer analyzes real-time data from energy meters, grid assets, and weather patterns. GridSeer predicts renewable energy fluctuations and recommends adjustments to keep the grid stable and reduce reliance on costly backup power.
GridSeer improves reliability, reduces risk, and helps providers make smarter, and economical decisions. As we transition to cleaner energy, GridSeer will play a key role in integrating renewable energy more efficiently and sustainably into the grid.
Researches energy policy design, focusing on capital investment decisions, costs, and emissions, using models to assess uncertainties in technology, fuel prices, and regulations.
Postdoctoral researcher at Duke, integrating uncertainty into power system operations. Specializes in network data analysis to improve probabilistic forecasts and grid planning.
PhD candidate applying human and machine learning to energy models, focusing on demand dynamics in Latin America and optimizing unit commitment models for GridSeer.
Entrepreneur and Duke professor with expertise in launching technology ventures. Co-founded multiple companies acquired by industry leaders. Focuses on business-environment integration.
Research Associate at Duke, with experience in tech consulting and product marketing at Ernst & Young. Founded educational institute focused on student skill development.
Expert in intellectual property and tech partnerships. Senior lecturer at Duke Law, focusing on IP transactions and venture financing for startups, with experience at IBM.
Marketing veteran with 40+ years in PR and tech startups. Former Laird Thermal Systems Global Marketing Director. Teaches entrepreneurial marketing at Duke University.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.