The Shape of U - On the Structure of Utility from Electric Vehicle Charging - Data and Code
Description
The dataset includes the data and code applied in the paper "The Shape of U - On the Structure of Utility from Electric Vehicle Charging". Description of the data and operations can be found in the paper. The raw session data stems from the OBELIS open database (https://mobilithek.info/offers/714073450865197056). The code
Files
Steps to reproduce
Simulation configuration in the file (see README_Simulation) Basic data setting in codes/configuration.py as described in Table 2 page 16 in the paper Selection of the data for the year 2023 (line 65) Choosing 10,000 random samples (line 67) Lowest arrival Energy: 10% (line 103) time resolution resampling 60 minutes (line 115) In lines 43 to 57, the data Generation can be handled. For reproduction, only newEstimation and newEvaluation should be selected. new Estimation produces new Estimates, newEvaluation updated Figures. The other modules Prepare the raw data, which is already done in the files. In line 135 the results_run can be selected. Choose "functions" to produce the results for Sections 5.1 - 5.3 in the paper. 5.1 Comparsion between Five Utility function using a multinomial and mixed-normal model 5.2 Comparing the coefficients of the Five Utility functions 5.3 Compute the value of time and value of Energy for the LiP Energy & Duration and the QiP Interaction within the Five Utility functions Choose "Segments" to produce the results for Sections 5.4-5.5 in the paper. 5.4 Estimate the coefficients for the Utility function "QiP Interaction" for the three segmentations Area, Activity, and Charger and the time Frames Day and time of Day 5.5 Compute the Station profitability for the different segmentations given decision margins of Energy Content at arrival and Energy Price. Choose from the list of results_config configuration in line 142 to reproduce the sensitvities in the Appendix.
Institutions
- Institute of Energy Economics at the University of CologneNorth Rhine-Westphalia, Cologne