Discuss the use of auxiliary variables in renewable energy research.

Jun 11, 2017 ... It is sometimes necessary to add auxiliary variables to a description of an algorithm or system to show that it implements a higher-level ... Analyzing data with full-information maximum likelihood with auxiliary variables. The techniques used to account for auxiliary variables are both ... Dec 30, 2015 ... ... auxiliary variable information. In order to evaluate efficiency of the introduced estimator, we first review some estimators and study the ... Dec 2, 2020 ... In this article, an auxiliary variable inductor, of which the equivalent inductance can be controlled by adjusting the dc current in its ... Nov 15, 2022 ... Variable z is an auxiliary variable which has the sole purpose to formulate the division as a product and make it possible to solve the underlying model with ... The new auxiliary datasets contain data derived from the regular FARS/GES variables using NCSA analyti- cal data classifications. These classifications are ... Jul 28, 2020 ... The RSS procedure using ranking on auxiliary variable for estimating the ratio-type estimators is described by Koyuncu (2015) as: k2 bivariate ... Also, it was established that estimators that are asymptotically optimum that utilized single auxiliary variable are more efficient than those that are not ... A new dependent variable that is not part of the physics interface is used, right-click either of these nodes to add an Auxiliary Dependent Variable subnode. Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. Anna Choromanska, Benjamin Cowen, Sadhana Kumaravel, Ronny Luss, Mattia Rigotti, ...