Conceptio › Archive › Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer metadata only CC BY-SA 4.0

Implementasi Deep Reinforcement Learning untuk Optimasi Energi Sistem Panel Surya pada Penghitung Ikan Otomatis

Jupri Suyuti Ramadagandi et al.
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer · Papers · License: CC BY-SA 4.0
Open Source ↗
energy-management
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 a
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1236214
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive