TY - GEN
T1 - A knowledge-based energy management model for smart grid environment
AU - Suh, Dongjun
AU - Chang, Seongju
AU - Kim, Jinsul
PY - 2014
Y1 - 2014
N2 - A knowledge-based model for energy consumption management to improve the energy efficiency of Korean apartment complex environments is proposed. This model is capable of controlling energy consumption in accordance with the characteristics of residential buildings. Korean apartment complexes are unique and varied in terms of shape, type, and use. Energy use data must be analyzed according to the residential building type, which can strongly affect the energy consumption pattern. Therefore, this study introduces a knowledge-based model considering both energy and building management profiles. Our proposed model could be used a prominent management method for Korean apartment complex and provides a good reference to build a new energy management services in smart grid environment.
AB - A knowledge-based model for energy consumption management to improve the energy efficiency of Korean apartment complex environments is proposed. This model is capable of controlling energy consumption in accordance with the characteristics of residential buildings. Korean apartment complexes are unique and varied in terms of shape, type, and use. Energy use data must be analyzed according to the residential building type, which can strongly affect the energy consumption pattern. Therefore, this study introduces a knowledge-based model considering both energy and building management profiles. Our proposed model could be used a prominent management method for Korean apartment complex and provides a good reference to build a new energy management services in smart grid environment.
KW - Energy management model
KW - Knowledge bassed model
KW - Korean apartment complex
KW - Smart grid
UR - http://www.scopus.com/inward/record.url?scp=84904497772&partnerID=8YFLogxK
U2 - 10.1109/ICISA.2014.6847330
DO - 10.1109/ICISA.2014.6847330
M3 - Conference contribution
AN - SCOPUS:84904497772
SN - 9781479944439
T3 - ICISA 2014 - 2014 5th International Conference on Information Science and Applications
BT - ICISA 2014 - 2014 5th International Conference on Information Science and Applications
PB - IEEE Computer Society
T2 - 5th International Conference on Information Science and Applications, ICISA 2014
Y2 - 6 May 2014 through 9 May 2014
ER -