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An online survey was conducted in 2021 to determine the demand for Electric vehicles, which was promoted both through social media and to a SurveyMonkey Audience.
Based on historic socio-economic and vehicle sales records, we developed models to forecast overall vehicle demand with econometric methods and machine learning techniques.
Forecasting the Passenger Car Demand Split from Public Perceptions of Electric, Hybrid, and Hydrogen-Fueled Cars – Greece
We use machine learning techniques to forecast the demand split from public perceptions as captured through an online survey.
The feasibility of Pavement KPI approximation from crowdsourced data is examined; Using a dedicated smartphone application for the collection of positioning and accelerometer data as well as regular manual driver inputs.
The Effect of Road Transport Electrification on Energy Demand – Greece
The case of Greece is examined with the use of previously developed forecasting models using machine learning techniques and projected regulatory changes to identify the increase in electricity and hydrogen demand in the near, medium, and long term.