Plamanescu, RaduRaduPlamanescuPitz, ManuelManuelPitzMaghnie, MohamadMohamadMaghnieDeaconescu, CatalinCatalinDeaconescuStamatescu, GrigoreGrigoreStamatescuMüller, DirkDirkMüllerMonti, AntonelloAntonelloMontiAlbu, Mihaela MarilenaMihaela MarilenaAlbu2026-02-142026-02-1420239798350312409https://publica.fraunhofer.de/handle/publica/50686310.1109/AMPS59207.2023.102972062-s2.0-85178020376The rapid growth of the Internet of Things (IoT) has resulted in an exponential increase in the availability of real-time data from various sources. However, integrating and processing of high-reporting rate information poses significant challenges due to the large volume, communication, and heterogeneity of the data. In this paper, we are proposing an innovative framework providing a scalable and flexible architecture that enables efficient handling of high-reporting rate data streams from diverse equipment towards pre-processing, storage, visualization and third-party applications integration using the FIWARE technology.enfalseFIWAREhigh-reporting rateOpen-source platformpower measurementstime seriesconference paper