- Titulinis
- Dalykinė ir mokslinė literatūra
- Technologijos mokslai
- Energetika ir termoinžinerija
- Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
ISBN: 9780128213537
Autorius : Valentina Emilia Balas
Leidimo metai: 2020
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Autorius : Valentina Emilia Balas
Leidimo metai: 2020
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9×6
Aprašymas
<p><i>Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction</i> 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.</p> <p>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.</p>
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