Meter data validating editing estimation

07-Dec-2019 15:55 by 9 Comments

Meter data validating editing estimation - fox10 dating

The potential for collecting interval data is almost limitless, and so is the need for validation, editing and estimation (VEE) to ensure that the data is valid!

Validation, Editing & Expansion in a Deregulated Environment 2000 AEIC Load Research Conference 2 J. As a result, this paper is being written to refresh and reminisce for the old timers, teach the new generation, and highlight the similarities and differences associated with data validation and editing under the new deregulated utility environment.

Consider that one sample site might represent the pattern of tens of thousands of customers and you can appreciate the implications of including problem data in an expansion of results to model population load characteristics.

Problem data and data loss are caused by a combination of factors, including equipment failure, data communications losses, human error, neglect, weather, computer failures and bad luck.

Data is made available for market processes or used for commercial propositions based on smart metering data.

The modern system architecture and the use of the ZONOS™ smart energy platform allow high-speed data processing and low cost scaling of the overall solution.

As we approach 2000 AD (that’s about 2,000 days After Deregulation, which began about 5 years ago), we need to take a fresh look at validation and editing techniques and their implications on the new applications for the data.

ZONOS™ MDM requests or collects, validates and processes data (e.g.

Our solution incorporates a state of the art Validation, Estimating and Editing (VEE) engine that loads meter data from multiple sources into a common format, transforms data into a validated state ready for billing and provides data in various file formats to suppose a wide range of billing applications.

Trusted by Utilities across North America, Utilismart provides this solution under a hosted, managed service offering that is affordable to small and mid-sized utilities.

As we march through the 2000’s, we need to take a fresh look at validation and editing techniques and their implications on the new applications for the data.

Published Paper: Lopes-Valeditaeic2k 2000 Presentation: valedit INTRODUCTION Load Research has had a long and varied history, having been carried on the coattails of a variety of applications since the early days of the 1960’s and 1970’s.

Equipment and procedures have improved over time, but data problems have not disappeared.

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