GridSeer addresses the evolving energy landscape, where decarbonization drives rapid integration of renewable energy sources, and extreme weather demands a more reliable energy grid. These conflicting pressures create unprecedented challenges for energy providers. 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.
Born from cutting-edge academic research, GridSeer bridges the gap between innovative energy science and real-world utility operations. With rising grid complexity and increasing clean energy adoption, we provide the tools to anticipate volatility and optimize performance across your energy systems. Our Core Values include:
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 variable and 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 designed to lower energy costs while enhancing system reliability, reducing risks, and managing load growth—especially in the face of increasingly unpredictable energy resources.
GridSeer uses probabilistic forecasting and risk awareness to go beyond traditional models. Instead of preparing for the "most likely" scenario, it evaluates all 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 machine learning tools, GridSeer analyzes historical and real-time data from energy meters, grid assets and weather patterns. GridSeer predicts renewable energy fluctuations and recommends adjustments to keep the energy system stable while also reducing 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 and other energy systems.
Researches technological, policy, and market solutions to pursue environmental sustainability, affordability and reliability in the energy sector, considering path dependencies and uncertainty.
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.
Join utilities, microgrids, and energy innovators who are turning uncertainty into opportunity with GridSeer. Let’s explore how our intelligent platform—and the people behind it—can support your energy transformation.
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