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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
