The U.S. Department of Energy’s National Renewable Energy Laboratory (NREL) has published a dataset containing minute by minute data on the barometric pressure, wind speed and direction, relative humidity, temperature, and air density for nearly five million locations in the United States from 2007 to 2014. The data could enable researchers to analyze wind quality and variability over time in different locations to decide the optimal places to build wind turbines. Due to the large size of the dataset, NREL also released GitHub notebooks on how to access the data.
Tracking Wind Energy in the United States
Michael McLaughlin is a research assistant at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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