Work

Transfer-Learning Based BiLSTM for Building Energy Consumption Prediction Considering Seasonal Features

Year: 2024

Type: conference-paper

Source: International Forum on Electrical Engineering and Automation (IFEEA)

DOI: 10.1109/ifeea64237.2024.10878703

Authors: Hao Chen, Yao Tang, Dan Guo, Yanhong Liu, Qun Yong, Hong Wang

Institution: State Grid Shandong Electric Power Company (China)

Language: English

Topic: Building Energy and Comfort Optimization

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4407691084

FWCI:

Cites: 10

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Related to: 10