Errors in Forecasting Deadlines for the Transition to E-Mobility

— During his entire existence on this planet, man has been setting himself temporal benchmarks for all his projects, either personal, or collective, or developed for any activity whatsoever. It is obvious that, for the electric mobility field as well, the factors involved – managers and politicians, display such tendency, temptation or fundamental need, but in their case, the motivation of forecasting and scheduling is of a truly overwhelming magnitude. This is because, while most people seem to have only some inner psychological urges for individual control and progress, whose deadlines may be easily put off several times or even unspecified, decision makers are aware that any changes in the responsible decision factor in the social segment (such as forecasting, planning or programming) may lead to a vital advantage for their organization. Some changes might also lead the system in which the organization is engaged or the entire community, to fatality or bankruptcy. And exactly just how useful, from a macroeconomic, macrosocial and macro-cultural perspective, is the rational determination of several time limits for projects, action plans or collective programs, by government administrations and organizations. The objective of this research is the promotion of a new instrument for analyzing deadlines. Concretely, therefore, the main objective of this study is the question of establishing a specific timeline of forecast error (STEIF) for each anticipatory project. The novelty of this article is represented by the introduction of a new layer of complexity in the instrument that is evaluating the forecasting deadlines. This is done by reviewing some instances and methodically entering a specific temporal error index of the forecast (STEIF). The expedience of knowing such error margins would be recaptured, according to our approach, in the precision of conceiving the following forecasts, action plans and programs. On the other hand, the importance of deadlines for the transition to electric propulsion is also highlighted by the trend imposed from the macroeconomic towards the microeconomic level, and such an example is the chaotic reporting that manufacturers show, with regard to the benchmark year of 2020