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Machine learning for energy projections

Energy scenarios project future possibilities based on a variety of assumptions, yet do not fully account for inherent friction in the energy transition, particularly over the near term. A new study shows how machine learning can complement existing scenario tools by incorporating lessons from the past into projections for the future.

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Correspondence to David L. McCollum.

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McCollum, D.L. Machine learning for energy projections. Nat Energy 6, 121–122 (2021).

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