Artificial intelligence (AI) is increasingly recognized for its significant energy demands, particularly in data centers supporting generative AI. However, AI also holds promise for enhancing energy efficiency and optimizing the power grid. According to MIT expert Priya Donti, AI can balance supply and demand while integrating renewable energy sources, addressing uncertainties in both energy demand and availability. By utilizing historical and real-time data, AI facilitates precise predictions about renewable energy output, aiding grid operators in making informed decisions. It tackles complex optimization challenges, maximizing efficiency and minimizing operational costs. Furthermore, AI can enhance power grid planning and predictive maintenance, promoting sustainable energy practices and accelerating battery development. Despite the energy consumption associated with some AI models, application-specific AI presents significant benefits, assisting in sustainability initiatives. Ultimately, fostering AI technologies aligned with real-world energy needs can pave the way for a cleaner, more resilient power grid.
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