Cross-Facility Energy Demand Forecasting and Carbon Arbitrage: AI-Driven Energy Efficiency Strategies for Sustainable U.S. Manufacturing and Logistics
Keywords:
cross-facility energy demand forecasting, carbon arbitrage, energy efficiency strategies, sustainable u.s. manufacturing, machine learningAbstract
The significance of AI-driven energy efficiency solutions in the U.S. manufacturing and logistics sectors lies in their potential to not only enhance economic viability but also to promote social cohesiveness, inclusion, and environmental sustainability. As highlighted by [3] , the costs associated with implementing AI applications in manufacturing should be viewed as long-term investments that contribute to the overall well-being of society and the environment.Downloads
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