- UHRA Home
- Browsing by Author
Browsing by Author "Olu-Ajayi, Razak"
Now showing items 1-10 of 10
-
Air Pollution Prediction using Machine Learning: A Review
Sulaimon, Ismail; Alaka, Hafiz; Olu-Ajayi, Razak; Ahmad, Mubashir; Sunmola, Funlade; Ajayi, Saheed; Hye, Abdul (Obafemi Awolowo University, Ile-Ife, 2021-07-08)In the effort to achieve accurate air pollution predictions, researchers have contributedvarious methodologies with varying data and different approaches that can be judgedaccurate in their respective contexts. Diverse ... -
Application of Multilayer Extreme Learning Machine for Efficient Building Energy Prediction
Adegoke, Muideen; Hafiz, Alaka; Ajayi, Saheed; Olu-Ajayi, Razak (2022-12)Building energy efficiency is vital, due to the substantial amount of energy consumed in buildings and the associated adverse effects. A high-accuracy energy prediction model is considered as one of the most effective ways ... -
Artificial Intelligence in the Construction Industry: A Systematic Review of the Entire Construction Value Chain Lifecycle
Egwim, Christian Nnaemeka; Alaka, Hafiz; Demir, Eren; Balogun, Habeeb; Olu-Ajayi, Razak; Sulaimon, Ismail; Wusu, Godoyon; Yusuf, Wasiu; Muideen, Adegoke A. (2023-12-28)In recent years, there has been a surge in the global digitization of corporate processes and concepts such as digital technology development which is growing at such a quick pace that the construction industry is struggling ... -
Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
Olu-Ajayi, Razak; Alaka, Hafiz; Sulaimon, Ismail; Sunmola, Funlade; Ajayi, Saheed (2022-01-01)The high proportion of energy consumed in buildings has engendered the manifestation of many environmental problems which deploy adverse impacts on the existence of mankind. The prediction of building energy use is essentially ... -
Building energy consumption using deep learning
Olu-Ajayi, Razak; Alaka, Hafiz (Obafemi Awolowo University, Ile-Ife, 2021-07-08)The consumption of energy in buildings has elicited the occurrence of many environmental problems such as air pollution. Building energy consumption prediction is fundamental for improved decision-making towards regulating ... -
Comprehensive Analysis of Influencing Factors on Building Energy Performance and Strategic Insights for Sustainable Development: A Systematic Literature Review
Olu-Ajayi, Razak; Alaka, Hafiz; Egwim, Christian; Grishikashvili, Ketty (2024-06-18)A prerequisite for decreasing the intensification of energy in buildings is to evaluate and understand the influencing factors of building energy performance (BEP). These factors include building envelope features and ... -
Data-Driven Tools for Building Energy Consumption Prediction: A Review
Olu-Ajayi, Razak; Alaka, Hafiz; Owolabi, Hakeem; Akanbi, Lukman; Ganiyu, Sikiru (2023-03-09)The development of data-driven building energy consumption prediction models has gained more attention in research due to its relevance for energy planning and conservation. However, many studies have conducted the ... -
Effect of traffic dataset on various machine-learning algorithms when forecasting air quality
Sulaimon, Ismail; Alaka, Hafiz; Olu-Ajayi, Razak; Ahmad, Mubashir; Ajayi, Saheed; Hye, Abdul (2022-05-26)Purpose: Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been fully investigated. This paper aims to ... -
Ensemble learning for energy performance prediction of residential buildings
Olu-Ajayi, Razak; Alaka, Hafiz; Sulaimon, Ismail; Grishikashvili, Ketty; Sunmola, Funlade; Oseghale, Raphael; Ajayi, Saheed (Obafemi Awolowo University, Ile-Ife, 2021-07-08)In the past decades, the demand for energy in buildings has considerably amplified due to the increase in population and prompt urbanization. The high proportion of energy consumed by buildings engender major environmental ... -
Machine learning for energy performance prediction at the design stage of buildings
Olu-Ajayi, Razak; Alaka, Hafiz; Sulaimon, Ismail; Sunmola, Funlade; Ajayi, Saheed (2022-02-28)The substantial amount of energy consumption in buildings and the associated adverse effects prompts the importance of understanding building energy efficiency. Developing an energy prediction model with high accuracy is ...