Supervised machine learning in wind forecasting and ramp event prediction. (2020)

• Record Type: Book
• Further Information: Note: Harsh S. Dhiman, Dipankar Deb, Valentina Emilia Balas.
• Authors: Dhiman, Harsh S; Deb, Dipankar; Balas, Valentina Emilia
• Contents: 1. Introduction 2. Wind Energy Fundamentals 3. Paradigms in Wind Forecasting 4. Supervised Machine Learning Models based on Support Vector Regression 5. Decision tree ensemble-based Regression Models 6. Hybrid Machine Intelligent Wind Speed Forecasting Models 7. Ramp Prediction in Wind Farms 8. Supervised Learning for Forecasting in presence of Wind Wakes A. Introduction to R for Machine Learning Regression A.1 Data handling in R A.2 Linear Regression Analysis in R A.3 Support vector regression in R A.4 Random Forest Regression in R A.5 Gradient boosted machines in R
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 551.64180285631; Wind forecasting -- Data processing; Machine learning
• Languages: English
• ISBNs: 9780128213674
• Related ISBNs: 9780128213537
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.