Valley-Filling based Heuristics for Eletric Vehicle Power Charging Allocattion

Published: 11 June 2024| Version 1 | DOI: 10.17632/vd9d6bjcm7.1
Contributor:
Guilherme Souza

Description

Files used for the research "Valley-Filling based Heuristics for Electric Vehicle Power Charging Allocation" Contents of this repository: 1) Datasets: -- Set of data used to carry out the work. ---- Dataset of electricity grid consumption in the city of Tetouan (Morocco) [original data available at: https://archive.ics.uci.edu/dataset/849/power+consumption+of+tetouan+city ] ---- Electric vehicle charging dataset for the city of Boulder (Colorado/USA) [original data available at: https://open-data.bouldercolorado.gov/datasets/39288b03f8d54b39848a2df9f1c5fca2_0/explore] 2) Heuristics: - Versions of the algorithms used in each of the scenarios presented. ---- Classic Valley-Filling (CVF); ---- Optimistic Valley-Filling (OVF); ---- Load Conservation Valley-Filling (LCVF).

Files

Institutions

Universidade Federal de Mato Grosso do Sul

Categories

Algorithms, Heuristics, Energy Demand Management, Electric Vehicles

Licence