Asad, Hafiz AreebHafiz AreebAsadKraemer, Frank AlexanderFrank AlexanderKraemerBach, KerstinKerstinBachRenner, Bernd-ChristianBernd-ChristianRenner2024-06-052024-06-052023-11Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems: 534-535 (2023)979-8-4007-0414-7https://hdl.handle.net/11420/47728Energy-harvesting wireless sensors require energy management due to volatile energy sources. Existing energy managers lack adaptability to changing utility requirements or often rely on manually defined utility profiles. To address this, we study an autonomous energy manager that learns utility profiles dynamically, without the need for prior data. The new energy manager ensures that devices adapt to evolving utility needs, extending their operational capabilities in changing environments.enhttps://creativecommons.org/licenses/by/4.0/adaptive sensingenergy harvestinginternet of thingsTechnology::621: Applied Physics::621.3: Electrical Engineering, Electronic EngineeringComputer Science, Information and General Works::004: Computer SciencesConference Paper10.15480/882.964010.1145/3625687.362840010.15480/882.9640Conference Paper