Comparative Study on Experimental 2 to 9 Triangular Fuzzy Membership Function Partitioned Type 1 Mamdanis FIS for G2EDPS

Burak Omer Saracoglu

Comparative Study on Experimental 2 to 9 Triangular Fuzzy Membership Function Partitioned Type 1 Mamdanis FIS for G2EDPS

Burak Omer Saracoglu *

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Comparative Study on Experimental 2 to 9 Triangular Fuzzy Membership Function Partitioned Type 1 Mamdanis FIS for G2EDPS

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Abstract

There are some theories on how the World will end (e.g. super volcano eruption, massive star explosion, death of the Sun, asteroid impact, pandemic, nuclear war, climate change). Some of them can be prevented, because the cause is human by itself. For instance, spread of deadly diseases can be prevented by some quarantine zones and periods, nuclear wars by disarmament of weapon of mass destruction (zero weapons) and climate change by new life styles and acts (zero emissions: carbon dioxide CO 2 , methane CH 4 , nitrous oxide N 2 O, fluorinated gases). Electricity generation plays a key role in zero emissions life styles and acts. A Global Grid can be designed, invested and operated by 100% renewable energy power plants on the World. Design and operation of this grid needs some very detailed electricity demand information. One of this information is the long term electricity demand prediction (PWh: Petawatt hours). This paper investigates an experimental Mamdani’s type fuzzy inference system for the Global Grid electricity demand forecasting in this respect.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Burak Saracoglu. 2017. "Comparative Study on Experimental 2 to 9 Triangular Fuzzy Membership Function Partitioned Type 1 Mamdanis FIS for G2EDPS". Global Journal of Research in Engineering, Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 17 (GJRE Volume 17 Issue J2).

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GJRE Volume 17 Issue J2

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-J Classification FOR Code: 091599

Submission ReceivedDecember 13, 2016
Peer Review Double Blind
Handling Editor
Accepted January 3, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

August 3, 2017

Language

English

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Article Matrices

Total Score: 101

Country: Turkey

Subject: Global Journal of Research in Engineering

Authors: Burak Omer Saracoglu (PhD/Dr. count: 0)

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Publish Date: 2017 01, Sun

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