Using Data Analytics to Improve Energy Storage Modeling, Dispatch, and Valuation
A. Crawford, N. Luo, D. Wu, K. Sepetanc
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Members: FreePES
IEEE Members: $25.00
Non-members: $40.00Pages/Slides: 69
Panel
19 Jul 2022
Energy storage can solve a multitude of issues in today’s rapidly evolving electric power grid and holds great potential for a decarbonized grid with high-renewable penetration. This panel session focuses on the latest research activities and projects on modeling, dispatch, and valuation of energy storage using advanced data analytics. Speakers in this panel session will share lessons learned to date and discuss challenges and gaps in energy storage analytics.
Chairs:
Di Wu
Primary Committee:
Analytic Methods for Power Systems (AMPS)
Sponsor Committees:
Big Data Analytics
