Application of time series analysis in forecasting coal production and consumption in the philippines (Record no. 19046)
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| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230327101036.0 |
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| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | AIKTC-KRRC |
| Transcribing agency | AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 20279 |
| Author | Parreño, Samuel John E. |
| 245 ## - TITLE STATEMENT | |
| Title | Application of time series analysis in forecasting coal production and consumption in the philippines |
| 250 ## - EDITION STATEMENT | |
| Volume, Issue number | Vol.13(1), Oct |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Chennai |
| Name of publisher, distributor, etc. | ICT Academy |
| Year | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pagination | 2798-2804p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Energy is the backbone of a country’s economic and technological<br/>development. For a country to be competitive in the global market and<br/>secure sustainable development, energy must be efficiently used. The<br/>Philippines’s main source of energy is coal. Historical data shows that<br/>the country’s energy and coal consumption has been continuously<br/>increasing. With this, careful energy planning is required to develop<br/>policies that ensure sufficient energy supply in the future. This paper<br/>focuses on forecasting coal production and consumption in the<br/>Philippines. For the purpose of forecasting, the autoregressive<br/>integrated moving average (ARIMA) model is applied to reveal that<br/>ARIMA (1, 2, 0) is the best model to forecast coal production. For coal<br/>consumption, the best model identified was ARIMA (0, 2, 1). The<br/>models have undergone residual analyses and forecast evaluations to<br/>ensure that the ‘best’ models found are statistically appropriate models.<br/>The forecasts show that in the following years, Philippine coal<br/>production will decrease, while the coal consumption rate will increase.<br/>In addition, it is predicted that the Philippines will need to import a total<br/>of 133.1983 MMT of coal to meet the coal consumption from 2021 to<br/>2025. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 773 0# - HOST ITEM ENTRY | |
| Title | ICTACT Journal on Soft Computing (IJSC) |
| Place, publisher, and date of publication | Chennai ICT Academy |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| URL | https://ictactjournals.in/paper/IJSC_Vol_13_Iss_1_Paper_8_2798_2804.pdf |
| Link text | Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Articles Abstract Database |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | School of Engineering & Technology | School of Engineering & Technology | Archieval Section | 27/03/2023 | 2023-0517 | 27/03/2023 | 27/03/2023 | Articles Abstract Database |