Predicting Energy Consumption in Educational Buildings: A Comparative Study of Machine Learning Models

QR Code

Predicting Energy Consumption in Educational Buildings: A Comparative Study of Machine Learning Models

The increasing energy consumption in educational institutions underscores the need for accurate predictive models to enhance energy management and sustainability. This study compares the effectiveness of multiple linear regression (MLR), artificial neural networks (ANN), deep neural networks (DNN),...

Full description

Bibliographic Details
Published in:	14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings
Main Author:	Ramli S.S.M.; Ahmad A.M.; Ibrahim M.N.; Daud K.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207062930&doi=10.1109%2fICCSCE61582.2024.10696293&partnerID=40&md5=596f6477ae90b9984ffabedc6463a1a4

Similar Items

Machine Learning Baseline Energy Model (MLBEM) to Evaluate Prediction Performances in Building Energy Consumption
by: Mustapa R.F.; Hairuddin M.A.; Nordin A.H.M.; Dahlan N.Y.; Yassin I.M.; Ashar N.D.K.
Published: (2024)

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)

The Effect of Occupant in Energy Consumption Prediction via Multiple Linear Regression Model in an Educational Building
by: Mustapa R.F.; Nordin A.H.M.; Hairuddin M.A.; Mahadan M.E.; Dahlan N.Y.; Yassin I.M.
Published: (2024)

Educational Building's Energy Consumption Independent Variables Analysis using Linear Regression Model: A Comparative Study
by: Mustapa R.F.; Hamizah Mohd Nordin A.; Hairuddin M.A.; Suhaifiza W Ibrahim W.; Mohd Saleh S.A.; Dahlan N.Y.; Yassin I.M.
Published: (2023)

Educational Level Impact on Energy Consumption in Malaysia Office Building using Neural Network Method
by: Ponichan H.; Azmi A.M.; Zailani R.
Published: (2023)

Comparative analysis of machine learning techniques for so2 prediction modelling
by: Shaziayani W.N.; Noor N.M.; Azan S.; Ul-Saufie A.Z.
Published: (2023)

Lecture and non-lecture week baseline energy model development and energy prediction in Malaysia educational building
by: Mustapa R.F.; Dahlan N.Y.; Yassin A.I.M.; Nordin A.H.M.
Published: (2020)

Energy consumption prediction through linear and non-linear baseline energy model
by: Mustapa R.F.; Dahlan N.Y.; Yassin I.M.; Mohd Nordin A.H.; Zabidi A.
Published: (2019)

Predicting dengue transmission rates by comparing different machine learning models with vector indices and meteorological data
by: Ong S.Q.; Isawasan P.; Ngesom A.M.M.; Shahar H.; Lasim A.M.; Nair G.
Published: (2023)

Predicting Kereh River's Water Quality: A comparative study of machine learning models
by: Nasaruddin, et al.
Published: (2023)

Predicting Kereh River's Water Quality: A comparative study of machine learning models
by: Nasaruddin, et al.
Published: (2023)

Machine learning prediction of video-based learning with technology acceptance model
by: Rahman R.A.; Masrom S.; Samad N.H.A.; Daud R.M.; Mutia E.
Published: (2023)

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)

Cutting Path-Associated Energy Consumption of Milling Machining Process
by: Rahman Hemdi A.; Md Ali U.F.; Mohamed Noor R.; Irwan Yahaya M.; Mahadzir M.M.; Faiz Zubair A.; Othman M.; Yola M.; Mat Saman M.Z.; Sharif S.
Published: (2020)

Baseline energy modelling in an educational building campus for measurement and verification
by: Mustapa R.F.; Dahlan N.Y.; Yassin I.M.; Nordin A.H.M.; Mahadan M.E.
Published: (2017)

Development of a machine learning model for predicting abnormalities of commercial airplanes
by: Passarella R.; Nurmaini S.; Rachmatullah M.N.; Veny H.; Nur Hafidzoh F.N.
Published: (2024)

Predicting students’ performance at higher education institutions using a machine learning approach
by: Mohd Zaki S.; Razali S.; Awang Kader M.A.R.; Laton M.Z.; Ishak M.; Mohd Burhan N.
Published: (2024)

Analysis of Power Consumption and Maximum Demand on Power Factor Using Support Vector Machine Regression
by: Isa S.N.M.; Daud K.; Ibrahim M.N.; Samat A.A.A.; Omar S.; Shafie M.A.
Published: (2024)

Particle Swarm Optimization for NARX-ANN Baseline Energy Modelling in Educational Buildings
by: Mustapa R.F.; Dahlan N.Y.; Yassin I.M.; Hamizah Mohd Nordin A.; Mahadan M.E.; Mohamad S.
Published: (2019)

THE EFFECT OF SECURITY IN THE GREEN BUILDING PRICE PREDICTION MODEL: A COMPARISON BETWEEN MULTIPLE LINEAR REGRESSION AND MACHINE LEARNING APPROACHES
by: Mohd T.; Masrom S.; Jamil N.S.; Harussani M.
Published: (2024)

Rapid Modelling of Machine Learning in Predicting Office Rental Price
by: Mohd T.; Harussani M.; Masrom S.
Published: (2022)

Construction and Application of a Prediction Model for Students’ Satisfaction in Chinese-Foreign Cooperatively-Run Educational Programmes Based on Machine Learning
by: Zhao N.; Aziz N.A.
Published: (2024)

A Comparative Study of Gaussian Process Machine Learning and Time Series Analysis Techniques for Predicting Unemployment Rate
by: Aris M.N.M.; Nagaratnam S.; Zakaria N.N.; Mohd Azami M.F.A.; Samsudin M.A.I.; Othman E.S.
Published: (2024)

House price prediction using a machine learning model: A survey of literature
by: Zulkifley N.H.; Rahman S.A.; Ubaidullah N.H.; Ibrahim I.
Published: (2020)

Energy consumption monitoring and alert system via IoT
by: Che Soh Z.H.; Hamzah I.H.; Che Abdullah S.A.; Shafie M.A.; Sulaiman S.N.; Daud K.
Published: (2019)

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)

Predicting automobile insurance fraud using classical and machine learning models
by: Nordin S.-Z.S.; Wah Y.B.; Haur N.K.; Hashim A.; Norimah R.; Jalil N.A.
Published: (2024)

Performance Measurement: Machine Learning as a Complement to DEA for Continuous Efficiency Estimation
by: Khoubrane Y.; Ramli N.A.; Khairi S.S.M.
Published: (2024)

Rainfall prediction using machine learning
by: Kumar A.V.S.; Roshan S.A.; Dutta A.; Ray S.; Masadeh S.R.; Lakshmi G.P.; Michalopoulos D.; Nyayapati R.; Musirin I.B.; Kaur G.
Published: (2024)

Comparative Analysis of Machine Learning Algorithms Through Visualizations
by: Ismail M.H.; Razak T.R.; Noor N.M.; Aziz A.A.
Published: (2023)

Groundwater level prediction using machine learning models: A comprehensive review
by: Tao H.; Hameed M.M.; Marhoon H.A.; Zounemat-Kermani M.; Heddam S.; Sungwon K.; Sulaiman S.O.; Tan M.L.; Sa'adi Z.; Mehr A.D.; Allawi M.F.; Abba S.I.; Zain J.M.; Falah M.W.; Jamei M.; Bokde N.D.; Bayatvarkeshi M.; Al-Mukhtar M.; Bhagat S.K.; Tiyasha T.; Khedher K.M.; Al-Ansari N.; Shahid S.; Yaseen Z.M.
Published: (2022)

A review and comparative study of retrofit for the energy efficiency of Malaysian heritage buildings
by: Jamal K.A.A.; Harun S.N.; Said S.Y.
Published: (2024)

MACHINE LEARNING PREDICTION OF TROPICAL FOREST ABOVE-GROUND BIOMASS ESTIMATION
by: Zulkiflee N.I.M.; Zaki N.A.M.; Razak T.R.; Omar H.; Tajudin S.; Narashid R.H.; Suratman M.N.; Latif Z.A.
Published: (2023)

Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches
by: Latif S.D.; Alyaa Binti Hazrin N.; Hoon Koo C.; Lin Ng J.; Chaplot B.; Feng Huang Y.; El-Shafie A.; Najah Ahmed A.
Published: (2023)

Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network
by: Ismail M.H.; Razak T.R.; Noor N.M.; Aziz A.A.
Published: (2024)

Comparing Model Building Performance of ARIMA Model and Logarithmic Return Model
by: Lee, et al.
Published: (2024)

Comparing Model Building Performance of ARIMA Model and Logarithmic Return Model
by: Lee S.L.; Liew C.Y.; Chen C.K.; Voon L.L.
Published: (2024)

Particle Swarm Optimization in Machine Learning Prediction of Airbnb Hospitality Price Prediction
by: Masrom S.; Baharun N.; Razi N.F.M.; Rahman R.A.; Abd Rahman A.S.
Published: (2022)

Machine learning models for COVID-19 confirmed cases prediction: A meta-analysis approach
by: Wan Yaacob W.F.; Sobri N.M.; Nasir S.A.M.; Nordin N.I.; Wan Yaacob W.F.; Mukhaiyar U.
Published: (2021)

Cloud failure prediction based on traditional machine learning and deep learning
by: Tengku Asmawi T.N.; Ismail A.; Shen J.
Published: (2022)