Message-ID: <20020621191302.13660.qmail@web21104.mail.yahoo.com>
Date: 2002-06-21T19:13:02Z
From: Johanus Dagius
Subject: Load prediction
Hello,
This is perhaps more of a regression question than R,
but I am learning both, so would appreciate your
wisdom here.
I have some data which reflects power load for an
electrical generating system, with some temporal
features. The data fields look like this:
D,MON,DAY,YR,HR,WDAY,DRYBULB,WETBULB,LOAD
4455 5 13 92 13 4 70 63 1617
4456 3 9 92 13 2 73 57 1397
4457 10 5 92 8 2 58 58 1501
4458 11 24 92 18 3 56 56 1885
4459 9 27 92 8 1 65 65 1402
What R methodology is likely to produce the most
accurate load forecast prediction for a given date and
temperatures for problems like this?
Thank you,
Johanus Dagius
__________________________________________________
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._