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Publication
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Research Title |
Predictive Analysis of GHG Emissions Using Machine Learning: A Case Study of Indonesia in Achieving Net-Zero Emissions |
Date of Distribution |
7 October 2024 |
Conference |
Title of the Conference |
The 4th ASEAN International Conference on Energy and Environment |
Organiser |
ASEAN Centre for Energy |
Conference Place |
Lao National Conventional Center |
Province/State |
Vientiane, Lao PDR |
Conference Date |
25 September 2024 |
To |
25 September 2024 |
Proceeding Paper |
Volume |
2024 |
Issue |
4 |
Page |
70 |
Editors/edition/publisher |
ASEAN Centre for Energy |
Abstract |
This study aims to examine Indonesia faces a challenging journey towards achieving its netzero emissions target by 2060. This research presents a predictive analytics framework for informing greenhouse gas emissions in Indonesia utilizing machine learning tool. Given the complexity of climate variables and the urgency of effective climate policy, evaluation methods are insufficient. The framework aims to provide actionable insights into the effectiveness of existing climate policies and future strategies. Methodologically, the research uses quantitative which involve data collection from international databases, data preprocessing, and then applying machine learning algorithms for predictive analysis by utilizing time-series. The findings indicate a significant correlation between the model's predictions and existing climate data, thereby validating its applicability in policy assessment. By integrating this predictive model into climate policy, the study offers data-driven approach to climate governance, bridging the gap between technological advancements and climate data. This research contributes both to the academic discourse in predictive analytics and GHG Emission, as well as providing a practical tool for policymakers in Indonesia working towards the 2060 net-zero emissions goal. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Abstract |
Type of Presentation |
Oral |
Part of thesis |
false |
ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
Presentation awarding |
false |
Attach file |
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Citation |
0
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