ebtezcan/EV-Charger-Prediction
Time-series modeling project that predicts the future number of electric vehicles in Washington state counties to identify locations with the most potential for financial success for new electric vehicle chargers.
Implements SARIMAX time-series forecasting with automated parameter tuning via pmdarima gridsearch to model cumulative EV adoption across Washington counties. Integrates Washington State's vehicle registration API and NREL's charging infrastructure API to correlate predicted demand against existing charger locations. Outputs county-level investment recommendations alongside interactive Tableau dashboards visualizing EV growth trajectories, vehicle model distributions, and charger coverage gaps.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Jul 30, 2021
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