| 000 -LEADER |
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| fixed length control field |
02230nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
FT8887 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251217150830.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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251217b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.9 A43 F73 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Francisco, Louis Philip M.; Casas, Al Eurry L. |
| 245 ## - TITLE STATEMENT |
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| Title |
Enhancement of particle swarm optimization algorithm for energy management in normal households using a mobile application |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Undergraduate Thesis: (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
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text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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unmediated |
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unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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volume |
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volume |
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volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Increasing electricity costs and growing energy efficiency awareness are making household energy management a concern for households. Although much has been done around smart homes, normal homes also have a lot to offer in terms of energy consumption optimization through informed appliance scheduling and operation. This study seeks to improve the Particle Swarm Optimization (PSO) algorithm to effectively address energy management challenges in a typical residential setting by utilizing energy consumption data from Meralco, which provides detailed estimates of common appliance usage in the Philippines. The improved PSO algorithm is designed with strategies that can prevent early convergence, improve the exploration-exploitation balance, optimize particle initialization, and reduce the computational costs. These are implemented in a mobile application that aims to assist households in efficiency scheduling appliance usage based on their energy consumption patterns and cost implications. Preliminary results show that the optimization of energy usage and reducing electricity costs by the new PSO algorithm are better than the conventional algorithm, while still providing usability to the users. The findings make the enhanced PSO capable of being a real solution for energy management in any household, hence a convenient tool toward more sustainable and not-so-costly energy practices in households. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Item type |
Thesis/Dissertation |