TY - JOUR
T1 - A Knowledge-Based Energy Management Model that Supports Smart Metering Networks for Korean Residential Energy Grids
AU - Suh, Dongjun
AU - Kim, Ilmin
AU - Kim, Jinsul
N1 - Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - 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.
AB - 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.
KW - Energy grid environment
KW - Energy-efficient management
KW - Knowledge-based model
KW - Smart grid network
KW - Smart metering network
UR - http://www.scopus.com/inward/record.url?scp=84944710299&partnerID=8YFLogxK
U2 - 10.1007/s11277-015-3090-y
DO - 10.1007/s11277-015-3090-y
M3 - Article
AN - SCOPUS:84944710299
SN - 0929-6212
VL - 94
SP - 431
EP - 444
JO - Wireless Personal Communications
JF - Wireless Personal Communications
IS - 3
ER -