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Smart city article details

Title	Experimenting Forecasting Models For Solar Energy Harvesting Devices For Large Smart Cities Deployments
ID_Doc	25333
Authors	Caruso A.; Chessa S.; Escolar S.; Del Toro X.; Kuzman M.; Lopez J.C.
Year	2019
Published	Proceedings - IEEE Symposium on Computers and Communications, 2019-June
DOI	http://dx.doi.org/10.1109/ISCC47284.2019.8969684
Abstract	To make sustainable large IoT deployments in smart cities, a promising approach is to develop a new generation of solar energy harvesting IoT devices based on the concept of energy neutrality. Key to this concept are the models for the forecast of energy production, which provide input to the energy-neutral schedulers governing the activities of the IoT devices. The development of such models however need to be validated against real-world conditions. To this purpose we propose a testbed aimed at the collection of real-world dataset about the energy parameters of energy harvesting IoT devices, and, on the base of such a dataset, we perform a comparative assessment of state of the art and novel energy production forecast models. © 2019 IEEE.
Author Keywords	dataset; forecasting algorithms; IoT; solar energy harvesting; testbed

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