Object

Title: An empirical fuzzy model for maximizing profit in electricity spot market

Creator:

Kacprzyk, Janusz (1947- ). Autor

Date issued/created:

2006

Resource Type:

Report

Subtitle:

Raport Badawczy = Research Report ; RB/16/2006

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

22 pages ; 21 cm ; Bibliography p. 17-22

Abstract:

This paper discusses the use of context based fuzzy optimization approach to maximize profit in the context of joint quantity-price bidding in today’s deregulated electricity market. The proposed method is innovative because it utilizes sets of empirical (market) data that reflect functional dependence between the input and output variables. The paper describes the structure of the fuzzy system and its components: the context variables, the input membership function and the output membership function, as well as the use of aggregation operators in aggregating the context variables. The paper also presents a numerical example to demonstrate the application of the proposed method and compare the result with analytical solution.

Relation:

Raport Badawczy = Research Report

Resource Identifier:

oai:rcin.org.pl:101665

Source:

RB-2006-16

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

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