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

Aljohani, Tawfiq M, Ebrahim, Ahmed, Mohammed, Osama. (2021). Real-Time metadata-driven routing optimization for electric vehicle energy consumption minimization using deep reinforcement learning and Markov chain model . ELECTRIC POWER SYSTEMS RESEARCH, 192 10.1016/j.epsr.2020.106962

cited authors

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

sustainable development goals

authors

publication date

  • March 1, 2021

published in

keywords

  • Artificial intelligence (AI)
  • BATTERY MODEL
  • Double Deep Q-Network (DDQN)
  • Electric vehicles (EVs)
  • Energy minimization framework
  • Engineering
  • Engineering, Electrical & Electronic
  • FUZZY-LOGIC
  • Google's API platform
  • MANAGEMENT
  • Markov Chain Model (MCM)
  • Reinforcement Learning (RL)
  • Routing optimization
  • Science & Technology
  • Technology

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCIENCE SA

volume

  • 192