Decision making under uncertainty in energy systems: State of the art
|Title:||Decision making under uncertainty in energy systems: State of the art||Authors:||Soroudi, Alireza
|Permanent link:||http://hdl.handle.net/10197/6153||Date:||Dec-2013||Online since:||2014-11-12T10:56:30Z||Abstract:||The energy system studies include a wide range of issues from short term (e.g. real-time, hourly, daily and weekly operating decisions) to long term horizons (e.g. planning or policy making). The decision making chain is fed by input parameters which are usually subject to uncertainties. The art of dealing with uncertainties has been developed in various directions and has recently become a focal point of interest. In this paper, a new standard classification of uncertainty modeling techniques for decision making process is proposed. These methods are introduced and compared along with demonstrating their strengths and weaknesses. The promising lines of future researches are explored in the shadow of a comprehensive overview of the past and present applications. The possibility of using the novel concept of Z-numbers is introduced for the first time.||Type of material:||Journal Article||Publisher:||Elsevier||Journal:||Renewable and Sustainable Energy Reviews||Volume:||28||Start page:||376||End page:||384||Copyright (published version):||2013 Elsevier||Keywords:||Fuzzy arithmetic; Info-gap decision theory; Probabilistic modeling; Robust optimization; Interval based analysis; Z-number||DOI:||10.1016/j.rser.2013.08.039||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Electrical and Electronic Engineering Research Collection|
Show full item record
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.