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Metro de Madrid annual energy intake reduction other · 25%

In the public sector, Metro de Madrid, one of the world's oldest urban rail systems, deployed AI algorithms to sift through mountains of data—on everything from air temperature at individual stations, to train frequency and passenger patterns, to electricity prices—to reduce its annual energy intake by 25%.

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