The convergence of artificial intelligence (AI) and clean energy innovation transforms global sustainability efforts. As climate challenges and growing energy demands increase, AI-powered technologies emerge as catalysts for efficiency, scalability, and smart decision-making for green energy. From optimizing renewable energy to predict fluctuations and accelerating materials discovery, AI redefines the clean energy frontier. By integrating data-driven intelligence with sustainable engineering, this new wave of innovation may reduce carbon emissions while reshaping the way organizations harness and manage energy for a cleaner, smarter planet. Advancing the Clean Energy Frontier Through AI-Powered Green Innovation explores how AI accelerates the development and deployment of clean energy technologies, serving as a catalyst for a sustainable energy transition. It examines AI-driven innovations, addressing ethical imperatives like data equity, algorithmic bias, and inclusive access. This book covers topics such as renewable energy, machine learning, and sustainable transport, and is a useful resource for engineers, business owners, academicians, researchers, and data scientists.
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