Sep 22, 2021 · In this paper, we investigate an optimal operation problem of an HMES with the consideration of building thermal dynamics. Specifically, we ...

This paper reformulates the optimal operation problem of an HMES with the consideration of building thermal dynamics as a Markov game and proposes an energy ...

Jan 27, 2024 · Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning. September 2021. Authors: Liang Yu at ...

Sep 22, 2021 · Building energy systems, operational cost, carbon emission, uncertainty, hydrogen energy storage, deep reinforcement learning. I ...

Bibliographic details on Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning.

This paper investigates an optimal operation problem of a hydrogen-based building multi-energy system (HBMES). Specifically, we first formulate an ...

May 13, 2024 · In this article, we study an operation optimization problem of a hydrogen-based building energy system. ... To deal with the above difficulties, ...

Deep reinforcement learning-based optimal scheduling of integrated energy systems for electricity, heat, and hydrogen storage. Author links open overlay panel

Jan 9, 2022 · In [20], a microgrid scheduling model is proposed and deep reinforcement learning algorithms is adopted to reduce the power purchase cost.

In existing works on the optimal operation of hydrogen-based multi-energy systems, building thermal dynamics and thermal comfort of occupants are neglected, ...