Object structure
Title:

Modeling variability of renewable energy sources by a semi-Markov process for power generation prediction

Subtitle:

Raport Badawczy = Research Report ; RB/50/2011

Creator:

Malinowski, Jacek

Publisher:

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

Place of publishing:

Warszawa

Date issued/created:

2011

Description:

12 pages ; 21 cm ; Bibliography p. 12

Subject and Keywords:

Semi-markov modeling ; Renewable power generation ; Wytwarzanie energii odnawialnej ; Modelowanie semi-markowa

Abstract:

This paper presents an attempt to model the variability of certain environmental factors, such as wind force or water flow rate, by a semi-Markov process with finite state space.The model’s accuracy is determined by the number of subintervals and the assumed degree of the factor’s dependence on its history (the number of previously entered subintervals relevant to predicting the factor’s future behavior). According to the presupposed accuracy level the adequately complex state-space and the inter-state transitions diagram of the modeling process are constructed. Subsequently, it is demonstrated how certain parameters of that process, that can be used in power generation forecasting, can be calculated by means of the Laplace transform calculus.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2011-50

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.

Access:

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