A Knowledge-Based Energy Management Model that Supports Smart Metering Networks for Korean Residential Energy Grids View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06

AUTHORS

Dongjun Suh, Ilmin Kim, Jinsul Kim

ABSTRACT

The various energy management technologies that are required in order to deliver effective energy demand responses have resulted from the integrated use of digital technologies with energy grids. Therefore, the core technologies for smart metering infrastructure are regarded as a key issue in the design of future energy grids. The proposed knowledge-based model that supports advanced metering networks is capable of estimating energy consumption according to the characteristics of residential buildings. The energy consumption data is analyzed according to the residential building’s properties, which can significantly affect the energy consumption pattern. Therefore, appropriately designed models for energy consumption patterns with respect to identifying each energy consumption feature’s potential impact can be applied to create smart metering networks for future energy grid environments. This study introduces a knowledge-based model that considers both the energy and building management profiles. Then, case studies for the estimation of the energy consumption are presented. The proposed model could be effectively utilized in managing the energy demand response process with respect to market prices and residential energy shortages, and it provides a good reference for designing energy demand response strategies in Korean residential energy grid environments. More... »

PAGES

431-444

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11277-015-3090-y

DOI

http://dx.doi.org/10.1007/s11277-015-3090-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050371966


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