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.

中文翻译：

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机器学习进行能源预测

能源方案基于各种假设来预测未来的可能性，但并未完全考虑到能源转换中的固有摩擦，尤其是在短期内。一项新的研究显示了机器学习如何通过将过去的经验教训纳入对未来的预测中来补充现有的情景工具。