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AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS

Analysis on the performance of energy storage technologies in hybrid power system (HPS) is crucial for optimization purpose and better decision making on the energy storage technology selection. In this work, a new insight-based automated targeting model (ATM) was developed using Python programming...

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Main Author: AZAMI, NAZMIR IKHWAN
Format: Final Year Project
Language:English
Published: 2021
Subjects:
TP Chemical technology
Online Access:http://utpedia.utp.edu.my/id/eprint/25874/1/Thesis_Nazmir%20Ikhwan%20bin%20Azami%20-%20Nazmir%20Ikhwan.pdf
http://utpedia.utp.edu.my/id/eprint/25874/
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spelling oai:utpedia.utp.edu.my:258742024-02-29T06:59:04Z http://utpedia.utp.edu.my/id/eprint/25874/ AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS AZAMI, NAZMIR IKHWAN TP Chemical technology Analysis on the performance of energy storage technologies in hybrid power system (HPS) is crucial for optimization purpose and better decision making on the energy storage technology selection. In this work, a new insight-based automated targeting model (ATM) was developed using Python programming to automate the energy targets calculation for both AC and DC energy storage types. 2021-01 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/25874/1/Thesis_Nazmir%20Ikhwan%20bin%20Azami%20-%20Nazmir%20Ikhwan.pdf AZAMI, NAZMIR IKHWAN (2021) AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
AZAMI, NAZMIR IKHWAN
AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS
description Analysis on the performance of energy storage technologies in hybrid power system (HPS) is crucial for optimization purpose and better decision making on the energy storage technology selection. In this work, a new insight-based automated targeting model (ATM) was developed using Python programming to automate the energy targets calculation for both AC and DC energy storage types.
format Final Year Project
author AZAMI, NAZMIR IKHWAN
author_facet AZAMI, NAZMIR IKHWAN
author_sort AZAMI, NAZMIR IKHWAN
title AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS
title_short AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS
title_full AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS
title_fullStr AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS
title_full_unstemmed AUTOMATED TARGETING MODEL FOR EVALUATION OF ENERGY STORAGE TECHNOLOGIES IN HYBRID POWER SYSTEMS
title_sort automated targeting model for evaluation of energy storage technologies in hybrid power systems
publishDate 2021
url http://utpedia.utp.edu.my/id/eprint/25874/1/Thesis_Nazmir%20Ikhwan%20bin%20Azami%20-%20Nazmir%20Ikhwan.pdf
http://utpedia.utp.edu.my/id/eprint/25874/
_version_ 1794572846056341504
score 13.211869

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