Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure

Author:

Palaniappan Arul1,Bhukya Purnima1,Chitti Sai Kiran1,Gao Jerry2

Affiliation:

1. San Jose State University,Department of Applied Data Science,San Jose,United States

2. San Jose State University,Department of Applied Data Science, Department of Computer Engineering,San Jose,United States

Publisher

IEEE

Reference37 articles.

1. Modified pattern sequence-based forecasting for electric vehicle charging stations

2. Time Series Forecasting with Arima, Sarima and SARIMAX;artley;Medium,2022

3. Predicting Popularity of Electric Vehicle Charging Infrastructure in Urban Context

4. Data preprocessing: Definition, key steps and concepts;lawton;SearchDataManagement 31-Jan-2022,2022

5. Examining spatial disparities in electric vehicle charging station placements using machine learning

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