Enjoy part 1 of Electricity Markets? (https://youtu.be/ByGyUm01Od0) In part 2 of this lecture, delivered on June 9, 2021, Dr. Luana Lima (@dukeuniversity) discusses the organizations that balance supply and demand on the U.S. power grid and describes the critical role that energy data analytics can play as the energy sector undergoes massive shifts. For starters, data analytics can help develop ways to address the #uncertainty and #variability of renewable energy supply. Dr. Lima provides examples from her own research into developing techniques for optimizing resources and predicting inflows for #hydropower use in Brazil.

0:00 – Overview of balancing authorities in the US
2:28 – How vertically integrated utilities versus RTOs/ISOs handle the balancing function
3:56 – Unity binding problem
7:38 – Major shifts in the energy sector and how data analytics can help
11:12 – Examples from research into optimization and prediction of hydropower resources

Part of the Foundations for Energy Data Analytics series. Some videos in the series introduce data science concepts and techniques that apply to energy challenges. Others (like this one!) are designed to provide background on energy systems and policies, illuminating contexts rich with opportunities for data scientists. (https://www.youtube.com/playlist?listPLFwtVidl9r0nMvczb0JZwmo2JfzOnUo93)

This talk was originally presented at a workshop of the Energy Data Analytics Ph.D. Student Fellows Program (https://energy.duke.edu/energy-data-analytics-phd-student-fellows), hosted by the Energy Data Analytics Lab (https://energy.duke.edu/research/energy- data) at Duke University. The Fellows Program is funded by a grant from the Alfred P. Sloan Foundation, Grant-G2020-13922. (https://sloan.org)

(Note: Conclusions or views expressed by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers or staff).

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