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Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification

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Affiliation of Author(s):能源与动力工程学院

Journal:ENERGY AND BUILDINGS

Key Words:Construction & Building Technology; Energy & Fuels; Engineering, Civil

Co-author:董振翔(学),刘彬,李夔宁,李鑫(学)

First Author:董振翔

Indexed by:Journal paper

Correspondence Author:刘江岩

Document Code:224038

Volume:241

Page Number:-

ISSN No.:0378-7788

Translation or Not:no

Date of Publication:2021-01-01

Pre One : Quantitative evaluation of the building energy performance based on short-term energy predictions

Next One : Energy diagnosis of variable refrigerant flow (VRF) systems: Data mining technique and statistical quality control approach

Personal information

Lecturer
Supervisor of Master's Candidates

E-Mail:

School/Department:能源与动力工程学院

Education Level:With Certificate of Graduation for Doctorate Study

Business Address:重庆大学A区动力楼401

Gender:Male

Degree:Doctoral Degree in Engineering

Status:Employed

Alma Mater:华中科技大学

Discipline:Refrigeration and Cryogenic Engineering

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