Work

Prediction of Hourly Power Consumption for a Central Air-Conditioning System Based on Different Machine Learning Methods

Year: 2017

Type: conference-paper

Source: Smart innovation, systems and technologies

DOI: 10.1007/978-3-319-70730-3_25

Authors: Si-qi Gao, Fu-min Zou, Xin-hua Jiang, Lyuchao Liao, Yun Chen

Institution: Fujian University of Technology

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: W2765313260

FWCI:

Cites: 11

Cited by:

Related to: 10