Energy Sustainability, AI, and Wireless Electricity Generation

The pursuit of energy sustainability has become paramount in addressing the global challenges of climate change, depleting fossil fuel resources, and increasing energy demand. This study explores the convergence of artificial intelligence (AI), energy sustainability, and wireless electricity generation as a transformative pathway toward a resilient and eco-friendly energy future. Energy sustainability involves developing systems that ensure long-term energy availability while minimizing environmental impacts. Traditional energy infrastructures face limitations in efficiency, accessibility, and scalability. Emerging technologies, particularly AI and wireless power transfer (WPT), offer innovative solutions to these constraints. AI plays a pivotal role in optimizing energy systems by enabling real-time data analysis, predictive maintenance, smart grid management, and demand forecasting. Its application enhances decision-making processes and improves system reliability and efficiency. Simultaneously, wireless electricity generation and transmission technologies—such as resonant inductive coupling, microwave power transmission, and laser-based energy transfer—are redefining how energy is transmitted and accessed. These technologies eliminate the need for physical connections, reduce energy losses, and offer scalable deployment in remote and urban settings. The integration of AI with wireless electricity generation facilitates adaptive control systems, fault detection, and dynamic load balancing, significantly improving system performance and sustainability. Furthermore, these systems can be embedded into renewable energy infrastructures, such as solar and wind farms, allowing for seamless and efficient energy delivery to distributed networks and off-grid communities. This synergy not only reduces carbon emissions but also supports the equitable distribution of clean energy resources. The study also evaluates potential challenges including energy loss during transmission, safety concerns, technological standardization, and regulatory frameworks. However, through interdisciplinary innovation and collaboration, these challenges can be mitigated to realize the full potential of AI-enhanced wireless energy systems. This paper contributes to the growing body of research advocating for sustainable energy transitions, emphasizing the critical role of intelligent, contactless power systems.