Special Issue "Advanced Internet of Things for Renewable Energy Optimization"
Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 4398
Interests: wireless networks; embedded system; intelligent multi-agent systems; distributed computing; energy efficiency
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Interests: network protocols; network algorithms; wireless sensor networks; ad hoc networks; multimedia streaming
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The renewable energy field has attracted the attention of the researchers and the industrials communities these last decades, and a variety of optimization technologies have been introduced. Most of these technologies are based on improvements through mechanical engineering and physics. However, the continuous need for energy efficiency, productivity and cost-effectiveness have pushed towards the application of new renewable energy strategies inspired from other research fields. Recently, it has been proved that applying Internet of Thing (IoT) can optimize the management of the renewable energy resources by combining sensors and data analytics.
Indeed, the renewable energy systems based on IoT can facilitate the communication between the renewable energy appliances to optimize the energy efficiency. For example, the energy regeneration will be switched from solar to wind turbine in a particularly cloudy day with a lot of wind. On the other side, IoT analytics have a significant effect on renewable energy outperforming. For instance, extracting data from solar panels may help to speed up the maintenance process and reduce the downtime.
The aim of this Special Issue (SI) is to address both of innovative developments resorting to the state-of-the-art technologies and ideas in areas related to advanced internet of things for renewable energy optimization. The SI is seeking the latest findings from research and ongoing projects relevant to IoT smart application for energy conservation. Topics of interest include, but are not limited to:
- IoT technologies for renewable energy
- Advanced data analytics for energy conservation systems
- Big data analysis and mining for renewable energy
- IoT based energy systems for industry 4.0 and smart cities
Selected authors from IAPE’19 conference will be invited to submit their paper to the SI. We also strongly encourage researchers unable to participate in the conferences to submit articles for the SI. The CFP of the SI will be broadcasted throw the professional networks of the Guest Editors.
Dr. Djallel Eddine Boubiche
Dr. Jaime Lloret Mauri
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