About this organization

Organization Name: GridSeer

Organization Solution and Services

  • Grid Management Solutions, Energy Management Systems (EMS)

    Organization Types:

  • Energy Policy & Advocacy Organizations, Publications, Non Profit, Membership organization
  • Organization Size: Revenue under 10M
  • Revenue: <$5 Million

  • Organization Years In business: 0-5 Years

Organization Information : Founded in 2024, GridSeer is a Duke University-based startup revolutionizing energy management through advanced risk analysis and optimization. Originating from the GRACE Project in the Dalia Patino-Echeverri Lab, GridSeer leverages machine learning and stochastic models to provide highly accurate energy forecasts and real-time risk assessments. Its cutting-edge platform enhances grid reliability, optimizes renewable energy use, and reduces operational costs for utilities and industrial energy users. With a focus on addressing the volatility of renewable energy integration, GridSeer targets sectors like smart cities and industrial energy management, paving the way for a more sustainable and efficient energy future. GridSeer is 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 and users with smarter tools for optimizing energy system performance, reducing costs, and achieving efficiency goals.

Other Information: Founded in 2024, GridSeer is a Duke University-based startup specializing in advanced energy management solutions. Emerging from the GRACE Project in the Dalia Patino-Echeverri Lab, the company leverages machine learning and risk-adjusted stochastic models to provide accurate energy forecasts and real-time risk assessments. GridSeer's platform enhances grid reliability, optimizes renewable energy integration, and reduces operational costs for utilities and industrial energy users. Its technology includes probabilistic forecasting, risk-adjusted stochastic unit commitment, and real-time resource dispatch. Serving sectors such as utilities, microgrid operators, prosumers, and commercial facilities, GridSeer aims to facilitate a sustainable and efficient energy future.

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