  Energy has been propelling the development of human civilization for
millennia, and technologies acquiring energy beyond human and animal power have
been continuously advanced and transformed. In 1964, the Kardashev Scale was
proposed to quantify the relationship between energy consumption and the
development of civilizations. Human civilization presently stands at Type
0.7276 on this scale. Projecting the future energy consumption, estimating the
change of its constituting structure, and evaluating the influence of possible
technological revolutions are critical in the context of civilization
development. In this study, we use two machine learning models, random forest
(RF) and autoregressive integrated moving average (ARIMA), to simulate and
predict energy consumption on a global scale. We further project the position
of human civilization on the Kardashev Scale in 2060. The result shows that the
global energy consumption is expected to reach 928-940 EJ in 2060, with a total
growth of over 50% in the coming 40 years, and our civilization is expected to
achieve Type 0.7474 on the Kardashev Scale, still far away from a Type 1
civilization. Additionally, we discuss the potential energy segmentation change
before 2060 and present the influence of the advent of nuclear fusion in this
context.
