Машинное обучение для прогнозирования энергопотребления на зарядных станциях электромобилей / О. А. Караман, А. Аслан, Г. Озтюрк, М. Канполат

Key Points

• Energy consumption prediction was effectively modeled using machine learning algorithms, notably neural networks.
• Forecasting accuracy was significantly improved, showcasing the benefits of advanced modeling techniques.
• Observational analysis employed deep learning mechanisms for data interpretation and prediction outcomes.
• Implications suggest enhanced energy management systems for electric vehicle infrastructure, promoting sustainability.