Real-Time metadata-driven routing optimization for electric vehicle energy consumption minimization using deep reinforcement learning and Markov chain model

Real-Time metadata-driven routing optimization for electric vehicle energy consumption minimization using deep reinforcement learning and Markov chain model Article

cited authors

Aljohani, Tawfiq M.; Ebrahim, Ahmed; Mohammed, Osama

fiu authors

Mohammed, Osama

publication date

March 1, 2021

webpage

Web of Science

published in

ELECTRIC POWER SYSTEMS RESEARCH Journal

author keyword

Artificial intelligence (AI) Author Keyword
Double Deep Q-Network (DDQN) Author Keyword
Electric Vehicles (EVs) Author Keyword
Energy minimization framework Author Keyword
Google's API platform Author Keyword
Markov Chain Model (MCM) Author Keyword
Reinforcement Learning (RL) Author Keyword
Routing optimization Author Keyword

category

ENGINEERING, ELECTRICAL & ELECTRONIC Web of Science Category

Digital Object Identifier (DOI)

https://doi.org/10.1016/j.epsr.2020.106962

volume

192