Leveraging Artificial Intelligence in a Decision Support System for Optimizing Energy Management
Currently, China is in a critical period of transition from old to new driving forces, and this transformation is crucial. During this period, the green economy led by cutting-edge technologies such as big data, artificial intelligence (AI), and cloud computing is bringing new impetus to China's development and demonstrating unprecedented vitality. The green economy not only conforms to the core concept of sustainable development, but also becomes a key force driving high-quality economic development. With the steady growth of the economy, the demand for energy in the green economy is increasing day by day. Therefore, how to efficiently and scientifically manage energy to ensure the stable development of green economy has become an important issue that urgently needs to be overcome. In response to this challenge, this article constructs an AI based green economy decision support system. The system integrates multi-channel energy data, constructs a comprehensive data system, and uses cutting-edge AI technology to deeply explore and predict energy demand trends, providing solid data support for decision-makers. The experimental data fully demonstrates that the system can significantly improve energy utilization efficiency and benefits, providing strong support for the sustainable development of the green economy.
Authors
- Cheng Xu (ORCID: https://orcid.org/0000-0003-4913-5371)
- Tianzhi Ouyang
- Tao Jian (ORCID: https://orcid.org/0000-0001-8815-380X)
- Qi Liu (ORCID: https://orcid.org/0000-0001-5245-1311)
Institutions
- Sun Yat-sen University (CN)
- Baise University (CN)
Publication Details
- Published
- 2025-03-21
- DOI
- https://doi.org/10.1109/aaicv66571.2025.00032
- Primary Topic
- Energy Load and Power Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00