Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives
Hunan University · Delft University of Technology · +6 more institutions
Abstract
The vigorous expansion of renewable energy as a substitute for fossil energy is the predominant route of action to achieve worldwide carbon neutrality. However, clean energy supplies in multi-energy building districts are still at the preliminary stages for energy paradigm transitions. In particular, technologies and methodologies for large-scale renewable energy integrations are still not sufficiently sophisticated, in terms of intelligent control management. Artificial intelligent (AI) techniques powered renewable energy systems can learn from bio-inspired lessons and provide power systems with intelligence. However, there are few in-depth dissections and deliberations on the roles of AI techniques for…
Citation impact
- FWCI
- 11.71
- Percentile
- 100%
- References
- 180
Authors
7Topics & keywords
- Renewable energy
- Carbon neutrality
- Energy engineering
- Energy transition
- Computer science
- Scale (ratio)
- Environmental economics
- Systems engineering