TY - GEN
T1 - Energy Optimization Technologies in Smart Homes
AU - Moayedi, Sam
AU - Almaghrebi, Ahmad
AU - Haase, Jan
AU - Nishi, Hiroaki
AU - Zucker, Gerhard
AU - Aljuhaishi, Nasser
AU - Alahmad, Mahmoud
N1 - Funding Information:
ACKNOWLEDGMENT The technical committee on building automation, control, and management (TC BACM) of the Industrial Electronics Society is supporting this paper. If you are interested in the topic, please feel invited to contact and join the TC. In addition, this work is supported by the Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/18
Y1 - 2020/10/18
N2 - Energy optimization in the built environment is receiving more attention in the last decade. This leads to remarkable technological advancements in energy monitoring, data communication, energy storage, control, and data analysis applications. Energy monitoring can be aggregate (Non-Intrusive load monitoring -NILM) or disaggregate (Intrusive load monitoring -ILM) based on the location in which the monitoring takes place. Sensors communicate via wired or wireless means, and several protocols are developed to support communications in smart homes. This real-time data can be sent to remote controllers for further analysis, training and prediction applications using Internet of Things (IoT) that provides a cost-effective solution for energy management systems. This manuscript presents an overview of current innovation in smart homes for the advancement of building technology.
AB - Energy optimization in the built environment is receiving more attention in the last decade. This leads to remarkable technological advancements in energy monitoring, data communication, energy storage, control, and data analysis applications. Energy monitoring can be aggregate (Non-Intrusive load monitoring -NILM) or disaggregate (Intrusive load monitoring -ILM) based on the location in which the monitoring takes place. Sensors communicate via wired or wireless means, and several protocols are developed to support communications in smart homes. This real-time data can be sent to remote controllers for further analysis, training and prediction applications using Internet of Things (IoT) that provides a cost-effective solution for energy management systems. This manuscript presents an overview of current innovation in smart homes for the advancement of building technology.
KW - Energy management
KW - Energy-storage
KW - ILM
KW - IoT
KW - Machine learning
KW - NILM
KW - STDR
KW - Smart buildings
UR - http://www.scopus.com/inward/record.url?scp=85097774768&partnerID=8YFLogxK
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U2 - 10.1109/IECON43393.2020.9254345
DO - 10.1109/IECON43393.2020.9254345
M3 - Conference contribution
AN - SCOPUS:85097774768
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 1974
EP - 1979
BT - Proceedings - IECON 2020
PB - IEEE Computer Society
T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Y2 - 19 October 2020 through 21 October 2020
ER -