The article presents the results aimed at assessing the effectiveness of the applied
forecasting system based on the forecasting procedure using a GMDH (Group Method of …

The current economic scale is bigger and bigger, the social material living standard also
along is also getting higher and higher with the rapid economic growth. However, the …

This paper presents a new algorithm for predicting the deviations for local timescale UTC (k)
in relation to the coordinated universal time (UTC) scale by means of group method of data …

In this paper, the effectiveness of using Artificial Neural Networks (ANNs) for predicting the
corrections of the Polish time scale UTC (PL)(Universal Coordinated Time) is presented. In …

The article presents and summarizes the research results of the UTC-UTC (PL) differences
predicting procedure for the Polish Time Scale UTC (PL) developed at the Institute of …

The article presents research results on predicting the deviations for UTC (AOS) timescale
realized on the basis of hydrogen maser by means of GMDH type neural network. Input data …

The article presents the results of research on the prediction of the polish timescale UTC
(PL) based on GMDH and GRNN neural networks, which were compared with the results …

Ensuring the best possible stability of UTC (k)(local time scale) and its compliance with the
UTC scale (Universal Coordinated Time) forces predicting the [UTC-UTC (k)] deviations, the …

Energy management in power systems is influenced by such factors as economic and
ecological aspects. Increasing the use of electricity produced at a given time from renewable …

The aim of the study is to examine the effectiveness of applying GMDH-type neural network
and the developed procedure for predicting UTC (k) timescales, which are characterized …