Sept. 5, 2022, 1:12 a.m. | Christos Tzagkarakis, Pavlos Charalampidis, Stylianos Roubakis, Alexandros Fragkiadakis, Sotiris Ioannidis

cs.LG updates on arXiv.org arxiv.org

Modern Internet of Things (IoT) environments are monitored via a large number
of IoT enabled sensing devices, with the data acquisition and processing
infrastructure setting restrictions in terms of computational power and energy
resources. To alleviate this issue, sensors are often configured to operate at
relatively low sampling frequencies, yielding a reduced set of observations.
Nevertheless, this can hamper dramatically subsequent decision-making, such as
forecasting. To address this problem, in this work we evaluate short-term
forecasting in highly underdetermined cases, …

arxiv environments forecasting iot series time series

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