Studies from J.H. Shin et al Add New Findings in the Area of Power Delivery.

"The load analysis for the distribution system and facilities has relied on measurement equipment. Moreover, load monitoring incurs huge costs in terms of installation and maintenance," investigators in Taejon, South Korea report.

"This paper presents a new model to analyze wherein facilities load under a feeder every 15 min using meter-reading data that can be obtained from a power consumer every 15 min or a month even without setting up any measuring equipment. After the data warehouse is constructed by interfacing the legacy system required for the load calculation, the relationship between the distribution system and the power consumer is established. Once the load pattern is forecasted by applying a clustering and classification algorithm of temporal data-mining techniques for the power customer who is not involved in automatic meter reading, a single-line diagram per feeder is created, and power-flow calculation is executed," wrote J.H. Shin and colleagues.

The researchers concluded: "The calculation result is analyzed by using various temporal and spatial analysis methods, such as the Internet geographic information system, single-line diagram, and online analytical processing."

Shin and colleagues published their study in IEEE Transactions on Power Delivery (Spatiotemporal Load-Analysis Model for Electric Power Distribution Facilities Using Consumer Meter-Reading Data. IEEE Transactions on Power Delivery, 2011;26(2):736-743).

For additional information, contact J.H. Shin, KEPRI, Taejon 305830, SOUTH KOREA.

The publisher of the journal IEEE Transactions on Power Delivery can be contacted at: IEEE-Institute Electrical Electronics Engineers Inc., 445 Hoes Lane, Piscataway, NJ 08855-4141, USA.

Keywords: City:Taejon, Country:South Korea, Region:Asia, Electric Power, Emerging Technologies, Energy, Machine Learning, Oil & Gas, Power Delivery, Power Distribution, Temporal Data Mining

This article was prepared by Information Technology Newsweekly editors from staff and other reports. Copyright 2011, Information Technology Newsweekly via VerticalNews.com.