Τίτλος:
On the use of data driven wand fuzzy techniques to calculate the wind
speed in urban canyons
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
The present per presents the results of an extensive study aiming to
develop and validate alternative data driven techniques able to estimate
the wind speed in urban canyons. The use of deterministic techniques to
calculate the wind speed in canyons present a low accuracy because of
the high uncertainty of the input data and the incomplete description of
the physical phenomena. ill Extended experimental data collected from
seven urban canyons have been used to create a data base of the main
parameters that define the phenomenon. Using fuzzy clustering
techniques, clusters of input-output data have been developed using as
criteria the inertia and gravitational forces. For each cluster using
statistical analysis, the more probable wind speed inside the canyon and
the corresponding input values have been estimated Thus, a reduced data
space has been created. This reduced data space has been used to develop
four data driven prediction models The models are : A 31) graphical
interpolation method, a tree based model as well as a linear regression
model Using the results of the graphical interpolation model, a fuzzy
estimation model has been developed as well. All methods have been
compared against the experimental data.
Συγγραφείς:
Santamouris, M.
Georgakis, C.
Niachou, A.
Εκδότης:
IEEE Comput. Soc
Τίτλος συνεδρίου:
2006 INTERNATIONAL SYMPOSIUM ON EVOLVING FUZZY SYSTEMS, PROCEEDINGS
DOI:
10.1109/ISEFS.2006.251181
