Artificial intelligence and machine learning in energy systems: A bibliographic perspective
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Abstract
Economic development and the comfort-loving nature of human beings in recent years have resulted in increased energy demand. Since energy resources are scarce and should be preserved for future generations, optimizing energy systems is ideal. Still, due to the complexity of integrated energy systems, such a feat is by no means easy. Here is where computer-aided decision-making can be very game-changing in determining the optimum point for supply and demand. The concept of artificial intelligence (AI) and machine learning (ML) was born in the twentieth century to enable computers to simulate humans' learning and decision-making capabilities. Since then, data mining and artificial intelligence have become…
Citation impact
354
total citations
- FWCI
- 29.08
- Percentile
- 100%
- References
- 110
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Artificial intelligence
- Computer science
- Energy (signal processing)
- Field (mathematics)
- Machine learning
- Energy demand
- Point (geometry)
- Mathematics
UN Sustainable Development Goals
- Affordable and clean energy
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