Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Wind speed prediction using different computing techniques   Wind is slated to become one of the most sought after source of energy in
future. Both onshore as well as offshore wind farms are getting deployed
rapidly over the world. This paper evaluates a neural network based time series
approach to predict wind speed in real time over shorter duration of up to 12
hr based on analysis of three hourly wind data collected through a wave rider
buoy deployed off Goa in deep water and far away from the shore. The data were
collected for 4 years from February 1998 to February 2002. A simple feed
forward type of network trained using a variety of algorithms was used. The
input nodes selected by trial were three in number and belonged to the segment
of preceding observations while the output node was single and it consisted of
the predicted value of the wind speed over the subsequent 3, 6 and 12 hours one
at a time. The number of hidden nodes was based on trials. The total sample was
divided into a training set (first 70 percent) and a testing set (remaining 30
percent). The outcome of the network was compared with the actual observations
with the help of scatter diagrams and time history plots as well as through the
error statistics of the correlation coefficient, R, and mean square error, MSE.
The testing of the network showed that it predicted the wind speed in a very
satisfactory manner with R = 0.99 and MSE = 0.30 (m/s)2 for a 3 hour ahead
prediction while these values for a 12 hour ahead predictions were 0.96 and
1.19 (m/s)2, respectively. Such a prediction based on neural network was found
to be superior to that based on polynomial fittings as well as ARMA models.
ARIMA models were also used but the predicted values showed significant lag.

1
The categories of this paper are: cs
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
27
The categories of this paper are: comp-gas
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg