Optimizing battery energy storage prototypes for improved resilience in commercial buildings: Gaussian mixture modeling and hierarchical analysis of energy storage potential-Reference-Cited by-同舟云学术

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Optimizing battery energy storage prototypes for improved resilience in commercial buildings: Gaussian mixture modeling and hierarchical analysis of energy storage potential

Published:2024-06 Issue: Volume:312 Page:114187
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Huang Zefeng,Gou Zhonghua^ORCID

Publisher

Elsevier BV

Reference56 articles.

1. Global ABC, 2022 Global Status Report for Buildings and Construction, in, 2022.

2. Machine learning approaches for estimating commercial building energy consumption;Robinson;Appl. Energy,2017

3. Model predictive control of commercial buildings in demand response programs in the presence of thermal storage;Cao;J. Clean. Prod.,2019

4. BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy;Gulbinas;Appl. Energy,2014

5. Genetic algorithm based optimization for photovoltaics integrated building envelope;Youssef;Energ. Buildings,2016

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