Educational Level Impact on Energy Consumption in Malaysia Office Building using Neural Network Method
The level of education has had a considerable impact on energy usage. Office activity requires energy, and this one area is especially subject to changes in demand patterns. The understanding on this trend is applicable to office buildings which has found many benefits like cost saving and better pr...
Published in: | Journal of Advanced Research in Applied Sciences and Engineering Technology |
---|---|
Main Author: | Ponichan H.; Azmi A.M.; Zailani R. |
Format: | Article |
Language: | English |
Published: |
Penerbit Akademia Baru
2023
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162977981&doi=10.37934%2faraset.30.3.7990&partnerID=40&md5=927733c7aacd73f546aac5e40df6bab1 |
Similar Items
-
Review of Artificial Neural Network Approaches for Predicting Building Energy Consumption
by: Md Ramli S.S.; Nizam Ibrahim M.; Mohamad A.; Daud K.; Saidina Omar A.M.; Darina Ahmad N.
Published: (2023) -
Application of Sensor Technology for Energy Consumption Analysis: A Case Study in a Smart Office Building
by: Tee B.T.; Lim S.C.J.; Siew P.W.; Lee M.F.
Published: (2023) -
Analysis of Thermal Comfort and Energy Consumption for Educational Building
by: Hussin N.; Nasir S.S.M.; Fohimi N.A.M.; Mahmod R.; Yaakob Y.; Ibrahim D.
Published: (2022) -
Energy Consumption and Energy Efficiency Prediction using Artificial Neural Network
by: Khairunizam F.N.B.; Salim N.A.; Mohamad H.; Yasin Z.M.
Published: (2024) -
Predicting Energy Consumption in Educational Buildings: A Comparative Study of Machine Learning Models
by: Ramli S.S.M.; Ahmad A.M.; Ibrahim M.N.; Daud K.
Published: (2024)