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Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

Overview of attention for book
Attention for Chapter 7: Probabilistic Wind Power Forecasting by Using Quantile Regression Analysis
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6 Mendeley
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Chapter title
Probabilistic Wind Power Forecasting by Using Quantile Regression Analysis
Chapter number 7
Book title
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-71643-5_7
Book ISBNs
978-3-31-971642-8, 978-3-31-971643-5
Authors

Mehmet Baris Ozkan, Umut Guvengir, Dilek Küçük, Ali Unver Secen, Serkan Buhan, Turan Demirci, Abdullah Bestil, Ceyda Er, Pinar Karagoz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Lecturer 1 17%
Professor > Associate Professor 1 17%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Economics, Econometrics and Finance 1 17%
Unknown 1 17%