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• W2899334674 abstract "It is not uncommon to employ energy labeling schemes on appliances or plug-loads that provide information regarding their expected energy usages and efficiencies. But this often does not include a follow-up action of checking whether the expectations on energy consumption are achieved or not for a particular appliance item being used. Automation of this task requires a mechanism that is context-aware regarding meta-data of the appliances (electrical ratings, energy-label information, etc.), and also aware of their operational-data consisting of realtime electrical measurements. In this work, a novel socket hardware is proposed which can access the meta-data and operational-data of appliances in an automated fashion, such that a supervisory control system can contextually identify the plug-loads for intelligent demand side management. The proposed smart cyber-physical system would enhance energy efficiency in future buildings, and would also reduce electronic waste." @default.
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• W2899334674 date "2018-06-01" @default.
• W2899334674 modified "2023-09-24" @default.
• W2899334674 title "Context-Aware Plug-Load Identification Towards Enhanced Energy Efficiency in the Built Environment" @default.
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• W2899334674 doi "https://doi.org/10.1109/eeeic.2018.8494526" @default.
• W2899334674 hasPublicationYear "2018" @default.
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