Electric Vehicle User Behavior Prediction Using Gaussian Mixture Models and Soft Information

Computer Science

• User Behavior 100%
• Soft Information 100%
• Gaussian Mixture Model 100%
• Collected Data 50%
• Scheduling Algorithm 50%
• clustering approach 50%
• Vehicular Mobility 50%
• Machine Learning-Based Approach 50%
• Machine Learning 50%
• Learning System 50%

Engineering

• Electric Vehicle 100%
• Gaussian Mixture Model 100%
• Arrival Time 100%
• Learning System 66%
• Collected Data 33%
• Metrics 33%
• Infrastructure 33%
• Learning Approach 33%
• Maximization 33%