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Conference Paper
Energy Information Collection Mechanism using Big Data Correlation Map
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- Authors
- Tai-Yeon Ku, Wan-Ki Park, Hoon Choi
- Issue Date
- 2017-12
- Citation
- International Conference on Big Data (Big Data) 2017, pp.4774-4776
- Language
- English
- Type
- Conference Paper
- Abstract
- Smart energy management is the development of smart energy platform technology to maximize energy efficiency through energy information collection, energy. The created device-to-device correlation is ultimately associated with energy context information. Energy has a lift cycle of generation, consumption and storage. The energy device's operational goal is the participatory behavior of these energy state cycles. Energy management services make decisions about where to transition from the current situation to the next in this energy cycle. When the energy state transition is determined, the behavior of each device is determined by the correlation of the devices. Effective management can be achieved without wasting energy through consistent behavior of related devices that match the energy situation cycle. This paper generated energy device relation map through information of 300 generations constructed by test-bed and provides the result of energy management service using it.
- KSP Keywords
- Big data correlation, Context Information, Current situation, Device to Device(D2D), Energy Information, Energy devices, Energy efficiency, Energy management service(EMS), Smart energy management, State Transition, Test-bed