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Energy Management Based on Internet of Things

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Recent Advances in Technology Acceptance Models and Theories

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 335))

Abstract

These years, the control of energy consumption and the use of renewable energies are becoming more important. In addition, there is a strong transition from a model where production is planned and predictable to another decentralized model that is difficult to predict and that energy management in distributed environments is really difficult, which requires the integration of new techniques such as information and communication technology (ICT), and artificial intelligence. However, with the Internet of Things (IoT), devices can communicate and exchange data with each other. The IoT paradigm promises to increase visibility and awareness of energy consumption through smart sensors and meters in machines and production lines. The connected objects are designed to collect and analyze data in real-time. They thus make it possible to monitor and manage the use and consumption. As a result, real-time energy consumption data from production processes can be easily collected and analyzed to improve the decision making. In this context, this document contributes to an understanding of the energy production management practices made possible by the IoT technic. This technic presents an element of an open system that is always in permanent interaction with other systems. For this, the presence of interoperability is essential in this technic for adapting to other systems already existing or still to be created. In addition, energy managers can adapt the adoption of IoT in a benefit-oriented way, by addressing energy management practices more aligned with the business, data and systems maturity and the information tools available. Finally, this work can be considered as an information platform for designers and installers in the field of intelligent energy management.

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Saba, D., Sahli, Y., Maouedj, R., Hadidi, A. (2021). Energy Management Based on Internet of Things. In: Al-Emran, M., Shaalan, K. (eds) Recent Advances in Technology Acceptance Models and Theories. Studies in Systems, Decision and Control, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-64987-6_20

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