TY - GEN
T1 - An extended prototypical smart meter architecture for demand side management
AU - Kong, Weicong
AU - Xu, Yan
AU - Dong, Z. Y.
AU - Hill, David J.
AU - Ma, Jin
AU - Lu, Chao
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2015/9/28
Y1 - 2015/9/28
N2 - The architecture of an Advanced Metering Infrastructure with Device Level Load Monitoring (AMI-DLLM) is proposed in this paper. The AMI-DLLM architecture is an upgrade from currently available Advanced Metering Infrastructure (AMI) that is enabled by large-scale smart meter rollouts under National Smart Metering Program (NSMP) across Australia. Potentials of such massive volume of demand side data generated from AMI have not yet been fully explored. The proposed new architecture aims to leverage such affluent demand data from smart meters and enhance both interactivity between utility companies and customers and demand side management. General structure and information flows extended from smart meters in the proposed framework are elaborated in this paper. Discussions of preliminary results and potential applications enhanced by the proposed architecture are also given in detail. © 2015 IEEE.
AB - The architecture of an Advanced Metering Infrastructure with Device Level Load Monitoring (AMI-DLLM) is proposed in this paper. The AMI-DLLM architecture is an upgrade from currently available Advanced Metering Infrastructure (AMI) that is enabled by large-scale smart meter rollouts under National Smart Metering Program (NSMP) across Australia. Potentials of such massive volume of demand side data generated from AMI have not yet been fully explored. The proposed new architecture aims to leverage such affluent demand data from smart meters and enhance both interactivity between utility companies and customers and demand side management. General structure and information flows extended from smart meters in the proposed framework are elaborated in this paper. Discussions of preliminary results and potential applications enhanced by the proposed architecture are also given in detail. © 2015 IEEE.
KW - Demand Response Architecture
KW - Energy Conservation
KW - Load forecasting
KW - Non-Intrusive Load Monitoring
KW - Smart Meter
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84949506588&origin=recordpage
U2 - 10.1109/INDIN.2015.7281873
DO - 10.1109/INDIN.2015.7281873
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479966493
T3 - Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
SP - 1008
EP - 1013
BT - Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
PB - IEEE
T2 - 13th International Conference on Industrial Informatics, INDIN 2015
Y2 - 22 July 2015 through 24 July 2015
ER -