One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
Цены на нефть взлетели до максимума за полгода17:55
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Гуменник рассказал о переживаниях перед финалом Гран-при России17:42，详情可参考PDF资料
[27]火电包括燃煤发电量，燃油发电量，燃气发电量，余热、余压、余气发电量，生物质发电量。。新收录的资料对此有专业解读