Implementasi Deep Reinforcement Learning untuk Optimasi Energi Sistem Panel Surya pada Penghitung Ikan Otomatis
Standalone battery-based photovoltaic systems can experience suboptimal energy utilization when energy-flow decisions rely on fixed control rules that do not adapt to changing operating conditions. This study implemented Deep Reinforcement Learning (DRL) based on a Deep Q-Network (DQN) on an ESP32 as a system-level ene...