Innovative hybrid prediction method integrating wavelet threshold decomposition and entropy-based model selection strategy for building energy consumption prediction-Reference-Cited by-同舟云学术

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Innovative hybrid prediction method integrating wavelet threshold decomposition and entropy-based model selection strategy for building energy consumption prediction

Published:2024-05 Issue: Volume:311 Page:114169
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Kong Chengfeng^ORCID,Jin Yi,Li Guiqiang

Publisher

Elsevier BV

Reference46 articles.

1. Global status report for buildings and construction[J];Hamilton,2020

2. A comprehensive review of energy-related data for US commercial buildings[J];Ye;Energ. Buildings,2019

3. Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques[J];Fan;Appl. Energy,2014

4. Artificial intelligence and machine learning approaches to energy demand-side response: a systematic review[J];Antonopoulos;Renew. Sustain. Energy Rev.,2020

5. Using machine learning techniques for occupancy-prediction-based cooling control in office buildings[J];Peng;Appl. Energy,2018

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