Building energy management and forecasting using artificial intelligence: Advance technique-Reference-Cited by-同舟云学术

Building energy management and forecasting using artificial intelligence: Advance technique

Published:2022-04 Issue: Volume:99 Page:107790
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Huang Jueru^ORCID,Koroteev Dmitry D.,Rynkovskaya Marina

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. A framework for a multi-source, data-driven building energy management toolkit;Markus;Energy Build,2021

2. Optimal energy management in smart sustainable buildings – A chance-constrained model predictive control approach;Nagpal;Energy Build,2021

3. A review of strategies for building energy management system: model predictive control, demand side management, optimization, and fault detect & diagnosis;Mariano-Hernández;J Build Eng,2020

4. Effective management of energy internet in renewable hybrid microgrids: a secured data driven resilient architecture;Mohammadi;IEEE Trans Ind Inf,2022

5. A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings;Aguilar;Renewable Sustainable Energy Rev,2021

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