Method of Aggregation of Heterogeneous Factors for GIS Decision Support System for RES of Kazakhstan

2017

Closed access Metadata (CSL-JSON)
DOI 10.1109/icaict.2017.8686937
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Decision-making support system for installing of renewable energy sources generators requires a large number of heterogeneous factors to be analyzed, including technical, economical, natural, legal, etc. The factors differ in terms of both representation and necessary processing. A number of factors affecting feasibility of installation of renewable energy generators was analyzed and a model for aggregating them based on Bayesian inference and other computational algorithms was developed.