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Applied Machine Learning Lab

Texas A&M University College of Engineering

Data Science for Wind Energy

This book provides an in-depth discussion on how data science methods can improve decision making for wind energy applications. A broad set of data science methods is covered. Those data science methods are described in the context of wind energy applications. Please find a book review, written by Professor Elsayed of Rutgers University for Technometrics (Vol. 62, No. 2, pp. 277–278, 2020).

  • Table of Contents
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    Python Package for the Book
    (we are adding new functions)
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  • Purchase: CRC Press, Amazon, Barnes & Noble

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