Electric Vehicle Energy Demand Prediction Techniques: An In-Depth and Critical Systematic Review
Author:
Affiliation:
1. Department of Industrial Engineering, American University of Sharjah, Sharjah, United Arab Emirates
2. Department of Electrical Engineering, American University of Sharjah, Sharjah, United Arab Emirates
Funder
Open Access Program from the American University of Sharjah
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10231153.pdf?arnumber=10231153
Reference86 articles.
1. Probabilistic Electric Vehicle Charging Demand Forecast Based on Deep Learning and Machine Theory of Mind
2. Hybrid electric vehicles and their challenges: A review
3. Short-Term Load Forecasting for Electric Vehicle Charging Stations Based on Deep Learning Approaches
4. Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm
5. Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model
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