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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Dhiman, Harsh S.
Emilia Balas, Valentina
Deb, Dipankar

Paperback

Series: Wind Energy Engineering

Technology & EngineeringGeneral ScienceWeather

ISBN10: 0128213531
ISBN13: 9780128213537
Publisher: Academic Press
Published: Jan 31 2020
Pages: 216
Weight: 0.65
Height: 0.46 Width: 6.00 Depth: 9.00
Language: English

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.

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