A review of deep reinforcement learning for smart building energy management

L Yu, S Qin, M Zhang, C Shen, T Jiang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Global buildings account for about 30% of the total energy consumption and carbon
emission, raising severe energy and environmental concerns. Therefore, it is significant and …

A stochastic bi-level optimal allocation approach of intelligent buildings considering energy storage sharing services

H Zhang, Z Li, Y Xue, X Chang, J Su… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
To decrease the investment cost of energy storage for urbanization purposes, a stochastic bi-
level optimal allocation approach of intelligent buildings (IBs) considering energy storage …

Two-stage robust optimization for space heating loads of buildings in integrated community energy systems

C Zhou, H Jia, X **, Y Mu, X Yu, X Xu, B Li, W Sun - Applied Energy, 2023 - Elsevier
A two-stage robust optimization (RO) method for buildings' space heating loads (SHLs) in an
integrated community energy system (ICES) is proposed. At the first stage, a bi-level …

[PDF][PDF] Deep reinforcement learning for smart building energy management: A survey

L Yu, S Qin, M Zhang, C Shen, T Jiang… - arxiv preprint arxiv …, 2020 - researchgate.net
Global buildings consumed 30% of total energy and generated 28% of total carbon emission
in 2018, which leads to economic and environmental concerns. Therefore, it is of great …

Optimal pricing of integrated community energy system for building prosumers with P2P multi-energy trading

H Jia, X Wang, X **, L Cheng, Y Mu, X Yu, W Wei - Applied Energy, 2024 - Elsevier
Buildings are typically integrated with multiple distributed energy resources (DERs),
enabling them to act as building prosumers engaged in both energy production and …

Flexibility clearing in joint energy and flexibility markets considering TSO-DSO coordination

T Jiang, C Wu, R Zhang, X Li… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Active distribution networks (ADNs) with distributed generators (DGs) can provide flexibility
for the upstream grid by participating in energy and flexibility markets. In this paper, a novel …

Stochastic and distributed optimal energy management of active distribution networks within integrated office buildings

Z Li, S Su, X **, M **a, Q Chen… - CSEE Journal of Power …, 2022 - ieeexplore.ieee.org
This paper proposes a stochastic and distributed optimal energy management approach for
active distribution networks (ADNs) within office buildings. The proposed approach aims at …

A Stackelberg Game-based robust optimization for user-side energy storage configuration and power pricing

Y Ding, Q Xu, L Hao, Y **a - Energy, 2023 - Elsevier
With the rapid development of demand-side management, battery energy storage is
considered to be an important way to promote the flexibility of the user-side system. In this …

Optimal energy management of integrated energy systems for strategic participation in competitive electricity markets

Y Wang, Y Zheng, Q Yang - Energy, 2023 - Elsevier
The uncertainties originating from electricity markets, renewable distributed generations
(RDG) and multi-energy loads pose huge challenges to the optimal energy management of …

A risk-averse day-ahead bidding strategy of transactive energy sharing microgrids with data-driven chance constraints

Y Wang, Q Yang, Y Zhou, Y Zheng - Applied Energy, 2024 - Elsevier
The rapid development of microgrids (MGs) with various prosumers promotes the
accommodation of renewable distributed generation (RDG) and provides platforms for local …