Work

Deep reinforcement learning-based energy scheduling for green buildings with stationary and EV batteries of heterogeneous characteristics

Year: 2026

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2026.127463

Authors: Chi Liu, Zhezhuang Xu, Jiawei Zhou, Yazhou Yuan, Kai Ma, Meng Yuan

Institutions: Education Department of Fujian Province, Fuzhou University, Yanshan University, Chalmers University of Technology

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

Funders: European Commission, National Natural Science Foundation of China, Fuzhou University, H2020 Marie Skłodowska-Curie Actions, HORIZON EUROPE Marie Sklodowska-Curie Actions

Awards: G1065574120, G2255998158, Integrating reinforcement learning and predictive control for smart home energy management, G8554384254

OpenAlex ID: W7128031990

FWCI: 19.75

Cites: 41

Cited by: 15

Related to: 10