Abstract
The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides their enabling capabilities, are not able to acquire and communicate information regarding the resource’s context. This paper proposes the EnAPlug, a new environmental awareness smart plug with knowledge capabilities concerning the context of where and how users utilize a controllable resource. This paper will focus on the abilities to learn and to share knowledge between different EnAPlugs. The EnAPlug is tested in two different case studies where user habits and consumption profiles are learned. A case study for distributed resource optimization is also shown, where a central heater is optimized according to the shared knowledge of five EnAPlugs.
Highlights
Today’s market is filled with smart devices for our homes, selling the promise of smart control and monitoring
This paper proposes an evolution of Environmental Awareness Smart Plug (EnAPlug) that is focused on the context
The deep learning mechanism used in this paper case studies was executed in EnAPlug using a trained model that was trained in the cloud—to avoid the low-processing of SBC
Summary
Today’s market is filled with smart devices for our homes, selling the promise of smart control and monitoring. To implement a smart home, typically multiple devices are required with a central system (using a centralized software with, or without, hardware). By using single or independent devices the only thing we achieve is a remote control and monitoring. Despite this preliminary limitation, this market is growing fast and it is expected that by 2022 there will be a total of 216.9 million homes worldwide with at least one smart device [1]. A big challenge for users is the aggregation of multiple systems and platforms from various brands, a job that can be overwhelming to the ordinary user
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