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The 'hemline' and 'savings' frames, in turn, can be understood as historical forecasts, trying to imagine what could happen in the complex interplay of different actors.
A useful frame for categorising futures thinking is de Jouvenel's [58: 55] division of forecasts into primary, secondary and tertiary (historical) forecasts.
In this paper, we describe novel methods designed to create day-ahead, wide-area probabilistic solar power scenarios based only on historical forecasts and associated observations of solar power production.
Net migration levels have been consistently under-predicted in historical forecasts.
According to him, variances based on historical forecasts cannot be used for prediction intervals of expected futures.
In summary, historical forecasts in the region on average assumed levels of future fertility that were too high and levels of mortality and immigration that were too low.
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The historical forecasting and actual power output of each WF is shown in Figs. 4, 5, 6, and 7.
The method takes the probability distribution of wind power forecasting errors into consideration by analyzing historical forecasting data of each WF.
The time series of historical forecasting and actual wind power are defined, and the errors between forecasting and actual wind powers of each WF are calculated.
References [11, 12] applied back propagation (BP) neutral networks and support vector machine (SVM) to learn the relationship between historical forecasting errors and other variables.
The historical forecast data, wind speed and wind direction are selected as the input data of the SBL model in this paper.
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