Enhancing Hydrogen Energy Consumption Prediction Based on Stacked Machine Learning Model with Shapley Additive Explanations

This publication has 24 references indexed in Scilit:

• Machine learning-assisted prediction and optimization of solid oxide electrolysis cell for green hydrogen production
  Green Chemical Engineering, 2025
• Numerical analysis of a helical spiral microevaporator-microreformer system for enhanced methanol conversion and hydrogen production
  Chemical Engineering and Processing - Process Intensification, 2025
• Deep reinforcement learning with deep-Q-network based energy management for fuel cell hybrid electric truck
  Energy, 2024
• An innovative adaptive hybrid prediction model based on deep learning methods (CEEMDAN-GRU) for green hydrogen production, In case study: Turkey
  International Journal of Hydrogen Energy, 2023
• Prediction of hydrogen generation from perhydro-dibenzyltoluene empowered with machine learning
  International Journal of Hydrogen Energy, 2023
• Battery longevity-conscious energy management predictive control strategy optimized by using deep reinforcement learning algorithm for a fuel cell hybrid electric vehicle
  Energy, 2023
• Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning
  Energy, 2023
• Advancements in microreactor technology for hydrogen production via steam reforming: A comprehensive review of experimental studies
  Journal of Power Sources, 2023
• Organic catalysts for hydrogen production from noodle wastewater: Machine learning and deep learning-based analysis
  International Journal of Hydrogen Energy, 2023
• Prediction and optimization of sustainable fuel cells behavior using artificial intelligence algorithms
  International Journal of Hydrogen Energy, 2023