Renewable energy integration into the global energy grid presents many challenges and opportunities as demand for reliable, sustainable energy rises. This chapter covers renewable energy system deployment and explainable AI's responsible AI adoption. By improving AI-driven system transparency, trust, and understanding, XAI will enable renewable energy production, distribution, and grid reliability. Next, XAI principles like energy management AI model interpretability and accountability are discussed. LIME, SHAP, and essential feature importance are used in sensible AI models. The chapter provides sound advice on ethical AI adoption and deployment in renewable energy projects, regulatory compliance, stakeholder engagement, and AI system monitoring and improvement. Examples and case studies teach engineers, policymakers, and researchers. This chapter will conclude by combining cutting-edge AI methods with renewable energy applications to create ethical and responsible AI for sustainable energy system management.