MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02904nam a22002897a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251016s2024 bx a|||g |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Qualifying information |
hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
University Teknologi Brunei |
| Language of cataloging |
eng |
| Transcribing agency |
UTB |
| 084 ## - BOOK Call Number |
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| Classification number |
UTB 120 REPORT, THESIS & DISSERTATION |
| -- |
RTDS 396 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Serina Lim Chee Lian |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
An adaptive ensemble approach for solar irradiance tilt adjustment / |
| Statement of responsibility, etc. |
Serina Lim Chee Lian |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Bandar Seri Begawan : |
| Name of publisher, distributor, etc. |
Universiti Teknologi Brunei, |
| Date of publication, distribution, etc. |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 214 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. |
| 500 ## - GENERAL NOTE |
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| General note |
Submitted in fulfilment of the requirements for Degree of Science (by Research) |
| 500 ## - GENERAL NOTE |
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| General note |
ABSTRACT This research enhances solar photovoltaic (PV) system efficiency and reliability by integrating advanced machine learning models and adaptive solar tracking mechanisms. The study employs Long Short-Term Memory (LSTM) networks, Extreme Learning Machines (ELM), and an ensemble approach for the precise forecasting of solar irradiance. An integration model combining the ensemble LSTM-ELM with Liu-Jordan and Badescu models was implemented to optimize solar panel tilt angles using Particle Swarm Optimization (PSO), leading to a closer alignment with actual solar data and enhancing energy capture. The proposed system utilizes a motor that adjusts the solar panel's tilt angle based on the monthly tilt angle derived from the integration model. This adjustment is performed once at the beginning of each month, after which the panels remain in the adjusted position to maximize energy capture for the rest of the month. Comprehensive testing across various environmental scenarios confirmed the system's robustness and reliability. The ensemble models demonstrated superior accuracy following thorough testing and optimization, achieving an MAE of 59.5, RMSE of 133.1, and an R2 value of 0.85, surpassing individual models. The model's predictions were validated against NASA data, revealing a significant improvement in accuracy over time. The precision tilt adjustment mechanism resulted in a 16.3% increase in energy output compared to a fixed system. These findings underscore the effectiveness of combining machine learning with optimization techniques to maximize solar power generation efficiency. |
| 502 ## - Dissertation Note |
|---|
| Dissertation Note |
Dissertation (Degree of Master of Science by Research) - Universiti Teknologi Brunei (2024) |
| 504 ## - Bibliography, Etc. Note |
|---|
| Bibliography, Etc. Note |
Includes references pages 122-131 and appendix pages 132-214 |
| 610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Form subdivision |
Thesis |
| Corporate name or jurisdiction name as entry element |
Universiti Teknologi Brunei |
| 610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Form subdivision |
Final Year Report |
| Corporate name or jurisdiction name as entry element |
Universiti Teknologi Brunei |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Dissertation, Academic |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Thesis writing |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Dissertation Universiti Teknologi Brunei |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Electrical and Electronic Engineering |
| 710 ## - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Universiti Teknologi Brunei |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Local Classification |
| Koha item type |
Reports, Thesis & Dissertation Students |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Internal field |
Book |
| CC (RLIN) |
850568 : 002440 c. 1 UTB |
| Internal field |
Universiti Teknologi Brunei |
