Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods

This article presents a research paper comparing machine learning methods for forecasting electric vehicle charging load. The focus is on experimental validation, suggesting a practical and data-driven approach to the problem. The use of machine learning implies the potential for improved accuracy and efficiency in managing charging infrastructure.

• •Focus on forecasting electric vehicle charging load.
• •Employs machine learning methods.
• •Emphasizes experimental comparison of different methods.