Open AccessDaylight Harvesting Optimization for Commercial Buildings using AI Technique
Author(s) -
Gaurav Patil,
Shravan Vishwakarma
Publication year - 2021
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v7i9.429
Subject(s) - daylight , energy consumption , consumption (sociology) , architectural engineering , environmental science , energy (signal processing) , daylighting , window (computing) , computer science , engineering , mathematics , electrical engineering , social science , statistics , physics , sociology , optics , operating system
As Energy consumption in buildings increases considerably from year to year due to the increase in human comfort needs and services . In addition to weather conditions, several factors influence the energy consumption for cooling buildings, such as the structure of the walls, the window-to-wall ratio and the orientation of the building. The energy consumption of buildings has been reported to represent a relatively large proportion of global energy consumption.