|
Showing 1 - 1 of
1 matches in All Departments
This brief is a clear, concise description of the main techniques
of time series analysis -stationary, autocorrelation, mutual
information, fractal and multifractal analysis, chaos analysis,
etc.- as they are applied to the influence of wind speed and solar
radiation on the production of electrical energy from these
renewable sources. The problem of implementing prediction models is
addressed by using the embedding-phase-space approach: a powerful
technique for the modeling of complex systems. Readers are also
guided in applying the main machine learning techniques for
classification of the patterns hidden in their time series and so
will be able to perform statistical analyses that are not possible
by using conventional techniques. The conceptual exposition avoids
unnecessary mathematical details and focuses on concrete examples
in order to ensure a better understanding of the proposed
techniques. Results are well-illustrated by figures and tables.
|
You may like...
Tenet
John David Washington, Robert Pattinson
Blu-ray disc
(1)
R54
Discovery Miles 540
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.