@article {21615,
	title = {Advanced Internet of Things for Renewable Energy Optimization},
	journal = {Applied Sciences International Journal  (Impact Factor: 2.217)},
	year = {2019},
	abstract = {
	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.

},
	url = {https://www.mdpi.com/journal/applsci/special_issues/advanced_optimization},
	editor = {Djallel Eddine Boubiche and Jaime Lloret Mauri}
}
