Sarmento, GonçaloCardoso, FilipeMota, MickaelHenriques, JoãoAbbasi, MaryamMartins, PedroWanzeller, CristinaCaldeira, Filipe2024-01-102024-01-102023Sarmento, G., Mota, M., Henriques, J., Abbasi, M., Martins, P., Cardoso, F., ... Caldeira, F. (2023). In D.H. de la Iglesia, J. F. de Paz Santana & A. J. López Rivero (Eds.), New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence: Vol. 1452. DiTTEt 2023. Advances in Intelligent Systems and Computing (pp. 99-109). Springer. https://doi.org/10.1007/978-3-031-38344-1_10978-3-031-38343-4http://hdl.handle.net/10400.15/4689The need for a more sustainable world is increasing the number of installations of photovoltaic systems including batteries as a way to postpone energy consumption when it is most needed. However, the chemical nature of batteries makes them unreliable and prompt to dangerous situations and can lead to a potential disaster, such as fires and explosions, in case the underline issues keep undetected for a long time. To overcome this scenario is a proposed framework for monitoring the temperature and voltage of batteries enabled by acquired data from Internet of Things (IoT) sensors. In case of these values become abnormal, a notification is triggered. The experimental results demonstrate the feasibility of the proposed framework to detect and notify hazard situations caused by battery faults.engIoTFrameworkBatteryMonitoringbook parthttps://doi.org/10.1007/978-3-031-38344-1_10