Mining is a one of the important factors in the global economy but it faces significant challenges in reducing energy consumption and mitigating environmental impacts. This research work presents an artificial intelligence-based framework to enhance energy efficiency in mining operations by integrating renewable energy sources and advanced demand management strategies. The proposed model utilizes the Whale Optimization Algorithm (WOA) to enable flexible energy distribution incorporating renewable energy resources, energy storage systems and real-time demand variations. Key components include energy demand forecasting, renewable energy integration, and dynamic resource management, validated through MATLAB simulations. Results demonstrate a substantial reduction in energy costs and enhanced sustainability, highlighting the framework’s efficiency and scalability for industrial applications. This study contributes to global sustainability by promoting energy optimization and environmental impact mitigation in the mining sector.