2016
DOI: 10.4236/ait.2016.61001
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Supply and Demand Oriented Energy Management in the Internet of Things

Abstract: The Internet of Things (IoT) is emerging as an attractive paradigm involving physical perceptions, cyber interactions, social correlations and even cognitive thinking through a cyber-physical-social-thinking hyperspace. In this context, energy management with the purposes of energy saving and high efficiency is a challenging issue. In this work, a taxonomy model is established in reference to the IoT layers (i.e., sensor-actuator layer, network layer, and application layer), and IoT energy management is addres… Show more

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Cited by 7 publications
(4 citation statements)
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“…Energy management through peak load shifting for an IoE enabled power grid is proposed in [157]. An energy management scheme for IoE enabled smart home is proposed in [158].…”
Section: Ioe Based Dr Programmentioning
confidence: 99%
“…Energy management through peak load shifting for an IoE enabled power grid is proposed in [157]. An energy management scheme for IoE enabled smart home is proposed in [158].…”
Section: Ioe Based Dr Programmentioning
confidence: 99%
“…• Vehicle-to-grid networks: Electric vehicles acted as energy storage devices perform charging operations at load valley, and feed their energy back into the power grid to reduce load peaks. Vehicles can also sell their energy to neighboring charging vehicles in a P2P manner with the help of local aggregators [8], [9].…”
Section: Introductionmentioning
confidence: 99%
“…and trade energy in a Peer-to-Peer (P2P) manner, V2G networks (EVs acted as energy storage devices [8]. They can sell their energy to the power grid as well as other vehicles in a P2P manner using local aggregator and reduce peak loads [9]), and energy harvesting networks (with this ability, the nodes can charge their battery from renewable energy/ mobile charger in a P2P way [10]). Moreover, the smart grid develops an efficient and green P2P energy trading [11].…”
Section: Introductionmentioning
confidence: 99%