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A review of deep reinforcement learning for smart building energy management
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 …
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
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 …
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
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 …
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
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 …
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
Buildings are typically integrated with multiple distributed energy resources (DERs),
enabling them to act as building prosumers engaged in both energy production and …
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
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 …
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
This paper proposes a stochastic and distributed optimal energy management approach for
active distribution networks (ADNs) within office buildings. The proposed approach aims at …
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 …
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
The uncertainties originating from electricity markets, renewable distributed generations
(RDG) and multi-energy loads pose huge challenges to the optimal energy management of …
(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
The rapid development of microgrids (MGs) with various prosumers promotes the
accommodation of renewable distributed generation (RDG) and provides platforms for local …
accommodation of renewable distributed generation (RDG) and provides platforms for local …