Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network-Reference-Cited by-同舟云学术

Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network

Published:2024-02 Issue:4 Volume:10 Page:e25307
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Maboudi Reveshti Ali,Khosravirad Elham,Rouzbahani Ahmad Karimi,Fariman Saeed Khakshouri,Najafi Hamidreza,Peivandizadeh Ali

Publisher

Elsevier BV

Reference29 articles.

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4. “Italian TRYs: new weather data impact on building energy simulations,”;Lupato;Energy Build,2019

5. Electricity production and consumption modeling through fuzzy logic;Olaru;Int. J. Intell. Syst.,2022

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