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

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

Occupancy rate refers to the level of usage and presence of individuals within a building or a specific space. This factor can have a significant impact on building energy consumption. When the occupancy rate in a building is high, naturally, energy consumption also increases. This correlation might...

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Bibliographic Details
Main Authors: Ali Maboudi Reveshti, Elham Khosravirad, Ahmad Karimi Rouzbahani, Saeed Khakshouri Fariman, Hamidreza Najafi, Ali Peivandizadeh
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Heliyon
Subjects:
Occupancy rate
Weather parameters
Artificial intelligence network
Statistical methods
Energy
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024013380

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024013380

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