RE: Questions about Interval VEE rules
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Subject: RE: Questions about Interval VEE rules
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From: "Vanderlinde, H. John" <JVanderl@SDGE.com>
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Date: Fri, 24 Jul 1998 10:10:41 -0700
I agree with Valerie!
H. John VanderLinde
San Diego Gas & Electric
Analyst - Customer Service Policy Support
Phone: (619) 654-8380 Fax: (619) 654-8393
E-mail: jvanderl@sdge.com
> ----------
> From: Valerie Nibler[SMTP:valerie@energyinteractive.com]
> Sent: Friday, July 24, 1998 9:34 AM
> To: Vanderlinde, H. John
> Cc: kathy.smith@USTRA.mail.abb.com; - (052)estradam(a)sce.com; Roome,
> Jane; - (052)MSL6(a)pge.com; - (052)hillrm(a)sce.com; -
> (052)garciah1(a)sce.com; - (052)colwella(a)sce.com; -
> (052)JECo(a)pge.com; - (052)diane.rihn(a)lgeenergy.com; -
> (052)dciruli(a)energyinteractive.com; - (052)tom.lofgren(a)cellnet.com;
> - (052)VJM3(a)pge.com; - (052)dirksjd(a)sce.com; - (052)ddc2(a)pge.com;
> - (052)pswg3web(a)dra1.cpuc.ca.gov; - (052)pswg(a)dra1.cpuc.ca.gov;
> Sabin, Leslie
> Subject: Re: Questions about Interval VEE rules
>
> I agree with John that we are splitting hairs. Whichever method we
> choose,
> given that it is only two hours of usage, will make very little difference
> in a
> monthly bill. Since I started this, I feel compelled to defend my hair
> splitting: we need ONE consistent interpretation so that people who are
> building software will not have to rewrite their code when someone comes
> up with
> a new interpretation. I like the original interpretation that treats
> power
> outages as valid data because it is simple, unambiguous, and consistent
> with our
> general treatment of power outages. Returning to the original
> interpretation
> would also be consistent with the following sentiments expressed in the
> VEE
> report:
> * Solutions must fit the magnitude of the problem - when evaluating
> solutions,
> the costs must be considered against the frequency of occurrence and the
> quality
> of the data.
> * Modifications to the rules should typically be required when they
> result in
> a significant improvement in the data quality.
>
>
>
>
>
>
.