Multi-criteria decision making algorithms, used for solving multi-criteria aggregation problems. Includes AHP, multiplication method, PROMETHEE, and others.
Published in Chapter:
Tools and Methods of Information Support for the Development of Renewable Energy
Ravil I. Mukhamediyev (ISMA University, Latvia), Sophia Kiseleva (Lomonosov Moscow State University, Russia), Kirill Yakunin (Institute of Information and Computational Technologies, Kazakhstan), Renat Mustakayev (Institute of Information and Computational Technologies, Kazakhstan), and Jelena Muhamedijeva (Institute of Information and Computational Technologies, Kazakhstan)
Copyright: © 2019
|Pages: 27
DOI: 10.4018/978-1-5225-9179-5.ch002
Abstract
The chapter considers information systems that provide analysis of the RES resource base and support decision making. RES resources in the Republic of Kazakhstan are briefly analyzed. The methods and systems for evaluation of theoretical, technical, and economic potential of renewable energy sources are considered. Based on this overview, the authors propose six steps of estimation that should be realized in intellectual GIS. One of the major steps is the identification the factors that affect using of renewable energy sources. These factors can contribute to impeding the development of green energy. The simple taxonomy of these factors is proposed. The second important step is to aggregate estimations of the factors. As a result, the authors propose the aggregation method based on Bayes rule. Compared to other methods, this approach allows us to obtain two estimates: probabilities of positive and negative hypotheses. The methods discussed are at the heart of the information system supporting the development of renewable energy sources in the Republic of Kazakhstan.