Civil Engineering and Architecture Vol. 11(6), pp. 3538 - 3551
DOI: 10.13189/cea.2023.110623
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Predicting and Optimizing the Energy Efficiency of Sustainable Residential Buildings Using Machine Learning Method


Dareen Qashmar *, Dema Khraisat , Hadeel Tariq Obeidat
Department of Architecture, Faculty of Engineering, Al-Balqa Applied University, Jordan

ABSTRACT

The increase in overall building energy consumption can be attributed to both socioeconomic advancement and increased urbanization. Forecasting energy consumption in buildings is critical for improving energy efficiency and sustainable development, ultimately resulting in lower energy prices and a negative environmental impact. Sustainable solutions in residential buildings aim to improve thermal comfort while lowering energy consumption. The difficulties and issues associated with residential structures may be resolved by using consumer behavior models and incorporating their inference into residential problem solutions. This article employs machine learning models that have been developed, tested, and trained to simulate energy usage in the building. Several appliances' energy data are used to evaluate the proposed predictive optimization technique. The proposed technique's results are compared to modules for prediction and optimization. To evaluate performance, regression performance measures are used. Furthermore, the results of the calculations demonstrated that the trained Random Forest Regressor model proposed in this work can accurately forecast the building's energy usage. Finally, the proposed model can be used to predict and optimize energy use in buildings that are similar to one another.

KEYWORDS
Machine-learning (ML), Optimization, Energy Efficiency, Residential Buildings, Prediction

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Dareen Qashmar , Dema Khraisat , Hadeel Tariq Obeidat , "Predicting and Optimizing the Energy Efficiency of Sustainable Residential Buildings Using Machine Learning Method," Civil Engineering and Architecture, Vol. 11, No. 6, pp. 3538 - 3551, 2023. DOI: 10.13189/cea.2023.110623.

(b). APA Format:
Dareen Qashmar , Dema Khraisat , Hadeel Tariq Obeidat (2023). Predicting and Optimizing the Energy Efficiency of Sustainable Residential Buildings Using Machine Learning Method. Civil Engineering and Architecture, 11(6), 3538 - 3551. DOI: 10.13189/cea.2023.110623.