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Smart home energy strategy based on human behaviour patterns for transformative computing
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DOI：10.1016/j.ipm.2020.102256.png)
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Abstract
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Transformative computing in the fourth-generation industrialization, receives all signals and all sequences from sensing devices under artificial intelligence in wireless networking. Then the system has to combine them and make a useful information for human. In an industrial building or in a home, many electronic devices would be using and they make various energy signals and sequences. The devices can find out the energy wastage in the absence of a smart energy management system to monitor the energy flow, and it causes a blackout. Once the energy flow is analysed, it is possible to realize the special-time or the rush-time, which will require a large amount of energy. Because the existing systems have no monitor to see the energy flow, a large amount of energy can be wasted. To distribute the energy efficiently, a smart energy management system should have the necessary special functions that can monitor the energy flow. Following the analysis result, the system can create a special strategy to plan energy distribution. In this study, the smart energy management system defines a special strategy based on the analysis result of the consumed energy by arranging more or less usage of energy. Moreover, the system can decrease the energy supply to idle devices and the connected extra devices by analysing how many IoT will be used in a service. This smart control system can detect human behaviour when they move and turn in activation automatically, so finally, the system can use the energy efficiently.
Keywords:
Energy strategy
Ecg (electrocardiography)
Human behaviour pattern
Transformative computing
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