An artificial intelligence based-model for heat transfer modeling of 5G smart poles

The LuxTurrim5G project is built on integrating different types of sensors and equipment that have been integrated into light poles in order to build new data-driven services. One additional service could be harvest the waste heat produced electrical devices pole. In this research, we developed an intelligent model for transfer modeling 5G Smart Poles. input parameters used construct are latitude station (deg), ambient temperature (°C), inside airflow (m3/min) time (h). These employed predict flow (W) maximum plate (°C) utility box. results show ANFIS-PSO provides accurate prediction R-value >0.95 test data, which close theoretically value 1. showed small amount latitude, air not detected at noon radiation vertical cylinder maximized between sunrise as well sunset. also demonstrated northern conditions, levels generated over 30 °C limited.