Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158130
Title: Electric vehicle charging modeling and forecasting
Authors: Ainiwaerjiang, Subi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Ainiwaerjiang, S. (2022). Electric vehicle charging modeling and forecasting. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158130
Abstract: The development of electric vehicles (EVs) has emerged as a critical component of the solution to the environmental and energy crises. When many electric vehicles are connected to the electrical grid, however, the distribution network's safety and stability will be jeopardized. The goal of this project is to create a Monte Carlo technique model for describing electric vehicle (EV)’s charging behavior and forecasting charging power requirements, as well as to incorporate elements like parking time into the model to increase prediction accuracy. The creation of such a model will be able to precisely estimate the EV load and effectively reduce grid pressure.
URI: https://hdl.handle.net/10356/158130
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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