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May 20, 2026EnergiesOpen Access

Unlocking Hydrogen Load Flexibility via Data-Driven Modeling for Enhanced Integrated Energy System Operation

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Authors

RHRongwei HeHJHongyang JinDZDong Zhang

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Overview

Randomized trial evaluates hydrogen load flexibility modeling in integrated energy systems, suggesting improved operation efficiency.

Key Points

  • The study aims to develop a data-driven modeling method for hydrogen load flexibility to optimize integrated energy system operations.
  • Proposes a hybrid LSTM-ISODATA framework to identify hydrogen consumption patterns.
  • Categorizes hydrogen loads into shiftable, transferable, and reducible forms.
  • Develops a mathematical programming model for optimized system operation.
  • Demonstrates a 10.3% reduction in operating costs compared to conventional modeling.
  • Enhances renewable energy utilization and operational flexibility of the energy system.

Cite This Study

He et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5040f03e14405aa9bdc1https://doi.org/10.3390/en19102406
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