MODELING ELECTRIC VEHICLE ENERGY CONSUMPTION: A SYSTEMATIC AND CRITICAL REVIEW OF PREDICTION METHODS

Abstract

The dependability and stability of power networks depend on precise predictions of the energy use by electric vehicles. It is becoming increasingly important for utilities to accurately predict when and where demand spikes will occur in order to ensure an adequate supply, especially as the number of electric cars on the road continues to climb.
One major obstacle to reliable demand forecasting for electric cars is the unpredictable and intermittent nature of their power use. Research into creating models capable of efficiently capturing and interpreting such complicated data is, hence, an expanding area of study. A thorough literature analysis, an examination of current research overviews, and the exploration of prospective model extensions and expansions are all key components in boosting the potential of accurate prediction models.
This study provides a thorough summary of previous work on energy demand forecasting for electric vehicles, including an analysis of the methodologies' pros and cons. Furthermore, possible areas where research is lacking are highlighted, and suggestions for future study paths are offered.