Energy efficient machine learning optimization framework for hybrid renewable generation in BIPV systems using DRL–ANN synergy

Key Points

• Energy efficiency is significantly improved using an integrated machine learning framework.
• The approach combines deep reinforcement learning with artificial neural networks to enhance performance.
• Assessment of hybrid renewable generation shows notable benefits in energy systems.
• Indicates a potential for broader application in sustainable energy technologies.