A study of machine learning methods used as decision support tool for grid operators : the NEWEPS project

Then, since the real-time running data such as wind power, photovoltaics, and load of the grid to be calculated will have a distribution difference with the training data over

Unlike the Black Sea region, where Russia has recently used—and continues to use—military force and other means of influence in a concerted effort to redraw

Two of the approximate methods are based on the hazardous distance found for single charges, whereas one approximation is based on transforming the true hazardous area (zone) into

Based on the work described above, the preliminary empirical model was improved by adding both the receiver height and weather parameters to the explanatory variables and considering

This report documents the experiences and lessons from the deployment of operational analysts to Afghanistan with the Norwegian Armed Forces, with regard to the concept, the main

We used a linear Support vector machine to test if a machine learning classifier of this nature could learn the pattern of ideas written as text.. The comparison

The current study has used the actual measured time histories of the wind speed as input to generate turbulent wind fields, in addition to the two wind field methods

We chose AVT as a case study subject due to it being a real-world project that used a learning activity data standard (i.e., xAPI) for describing data originat- ing from