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Hybrid Intelligent Optimization Approaches for Smart Energy: A Practical Approach
Pedram Asef
School of Physics, Engineering & Computer Science
Centre for Climate Change Research (C3R)
Energy and Sustainable Design Research Group
Centre for Engineering Research
Department of Engineering and Technology
Communications and Intelligent Systems
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Engineering & Materials Science
Electric power utilization
100%
Scheduling
93%
Agriculture
74%
Smart city
74%
Computational methods
71%
Deep learning
60%
Artificial intelligence
59%
Industry
59%
Internet of things
56%
Students
50%
Machine learning
49%
Energy utilization
47%
Engineers
47%
Costs
25%