Investigating the occupant existence to reduce energy consumption by using a hybrid artificial neural network with metaheuristic algorithms
There is an acute need to evaluate the energy consumption of buildings in response to climate change. The “occupant” factor has been largely overlooked in building energy analysis. This research aims at investigating occupancy existence in the office environment using a hybrid artificial ne...
Saved in:
Main Author: | Nehal Elshaboury |
---|---|
Format: | article |
Language: | EN |
Published: |
Growing Science
2022
|
Subjects: | |
Online Access: | https://doaj.org/article/a7ee7245afdb4cc3a757b9df44c4e2e0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Binary social group optimization algorithm for solving 0-1 knapsack problem
by: Anima Naik, et al.
Published: (2022) -
Planning rice cultivation in a large plot agricultural system
by: Montri Singhavara, et al.
Published: (2022) -
An optimal Islamic investment decision in two-region economy: The case of Indonesia and Malaysia
by: Ferry Syarifuddin, et al.
Published: (2022) -
Simulation optimization of an inventory control model for a reverse logistics system
by: Hanane Rachih, et al.
Published: (2022) -
Modelling of natural growth with memory effect in economics: An application of adomian decomposition and variational iteration methods
by: Muhamad Deni Johansyah, et al.
Published: (2022)