Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Written By Harsh S. Dhiman
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
  • Publsiher : Academic Press
  • Release : 21 January 2020
  • ISBN : 0128213671
  • Pages : 216 pages
  • Rating : /5 from reviews
GET THIS BOOKSupervised Machine Learning in Wind Forecasting and Ramp Event Prediction


Download or read book entitled Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction by author: Harsh S. Dhiman which was release on 21 January 2020 and published by Academic Press with total page 216 pages . This book available in PDF, EPUB and Kindle Format. Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance. Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation. Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts Includes state-of-the-art models and methodologies in wind forecasting

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
  • Author : Harsh S. Dhiman,Dipankar Deb,Valentina E. Balas
  • Publisher : Academic Press
  • Release Date : 2020-01-21
  • Total pages : 216
  • ISBN : 0128213671
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Summary : Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented ...

Soft Computing Applications

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  • Author : Valentina Emilia Balas,Lakhmi C. Jain,Marius Mircea Balas,Shahnaz N. Shahbazova
  • Publisher : Springer Nature
  • Release Date : 2020-08-14
  • Total pages : 438
  • ISBN : 0128213671
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Summary : This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13–15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society ...

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  • Publisher : Springer
  • Release Date : 2012-10-22
  • Total pages : 329
  • ISBN : 0128213671
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Summary : This book constitutes the refereed proceedings of the 15th International Conference on Discovery Science, DS 2012, held in Lyon, France, in October 2012. The 22 papers presented in this volume were carefully reviewed and selected from 46 submissions. The field of discovery science aims at inducing and validating new scientific hypotheses from data. The ...