Experimenting Forecasting Models for Solar Energy Harvesting Devices for Large Smart Cities Deployments

SOLEDAD ESCOLAR; JUAN CARLOS LÓPEZ; STEFANO CHESSA; MELISA KUZMAN; ANTONIO CARUSO; X. D. TORO GARCÍA

2019 IEEE Symposium on Computers and Communications (ISCC)

IEEE

Lugar: Barcelona; Año: 2019 p. 1177 - 1182

1530-1346

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.