Predicting of Solar Power Generation using Random Forest Regression (Record no. 86010)
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| 000 -LEADER | |
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| fixed length control field | 01824nam a22002657a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251016094134.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250909b ||||| |||| 00| 0 eng d |
| 043 ## - GEOGRAPHIC AREA CODE | |
| Geographic area code | URS |
| 245 ## - TITLE STATEMENT | |
| Title | Predicting of Solar Power Generation using Random Forest Regression |
| Remainder of title | / Mentoy, Jane J.... [et al.]. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | November 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 30 leaves : |
| Other physical details | illustrations ; |
| Dimensions | 28 cm. |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis |
| Degree type | Bachelor of Science in Mathematics |
| Name of granting institution | University of Rizal System-Morong |
| Year degree granted | 2024 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This research explores predicting solar power consumption at Kasarinlan Ecopark in Baras, Rizal, using Random Forest Regression. Solar energy is increasingly used as a sustainable alternative to fossil fuels due to its environmental benefits and low maintenance requirements. However, accurately predicting the power output from solar panels remains a challenge because the voltage generated can vary greatly and is difficult to estimate. This study addresses this issue by applying four supervised machine-learning techniques to predict solar power consumption. The results show that Random Forest Regression provides the most accurate predictions with minimal errors. The findings highlight the effectiveness of using Random Forest for solar energy forecasting, helping to improve the efficient use of solar power in grid systems. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mentoy, Jane J. |
| Relator term | author |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bandong, Charisse Mae B. |
| Relator term | author |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Estremos, Danilo Jr. J. |
| Relator term | author |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gonzales, Radnajelo S. |
| Relator term | author |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Olinares, Gracelyn Y. |
| Relator term | author |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dela Cruz, Shiela Marie F. |
| Relator term | degree supervisor |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Online Request for Student Unpublished Works |
| Uniform Resource Identifier | <a href="https://forms.gle/iwQgJ2wFRviEt3BA8">https://forms.gle/iwQgJ2wFRviEt3BA8</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Theses and dissertations |
| Withdrawn status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Reference | Morong College Library | Morong College Library | 09/09/2025 | URSMOR-CL-7023 | 09/09/2025 | 09/09/2025 | Theses and dissertations |