Environment, Social, Governance (ESG) Investment in Artificial Intelligent (AI) to Improve Power Grid focusing Peninsular Malaysia using System Dynamic
The intersection of environmental sustainability and technological innovation is redefining investment and development strategies. ESG (Environmental, Social, and Governance) investing has become pivotal for achieving long-term sustainability, particularly in Peninsular Malaysia's power grid sector, where carbon neutrality goals align with broader sustainability objectives. System Dynamic (SD) methodology enhances ESG (Environmental, Social, and Governance) investment models by providing a framework to navigate complex, non-linear systems. This approach is essential for comprehensively assessing ESG (Environmental, Social, and Governance) impacts in power grid investments. In parallel, AI advancements in Peninsular Malaysia are transforming various sectors-boosting biodiversity conservation, revolutionizing education, and advancing the National AI (Artificial Intelligence) Framework. These efforts highlight Malaysia's role as a leader in integrating AI (Artificial Intelligence) for sustainable development. Overall, combining ESG (Environmental, Social, and Governance) investment strategies with AI (Artificial Intelligence) innovations offers a powerful pathway to addressing environmental challenges and driving technological progress.
Authors
- Ilham Sentosa (ORCID: https://orcid.org/0000-0002-8362-2205)
- Muhamad Zulkiflee Osman
- Abdullah Sulaiman
- Hairunajiha Roslan
- Kamarul Nirhaqqim Nor Azri Juhar
Institutions
- University of Kuala Lumpur (MY)
- SEGi University (MY)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/isas64331.2024.10845227
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00