| Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings XJ Luo, LO Oyedele, AO Ajayi, OO Akinade, HA Owolabi, A Ahmed Renewable and Sustainable Energy Reviews 131, 109980, 2020 | 142 | 2020 |
| Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm XJ Luo, LO Oyedele Advanced Engineering Informatics 50, 101357, 2021 | 130 | 2021 |
| Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads XJ Luo, LO Oyedele, AO Ajayi, OO Akinade Sustainable Cities and Society 61, 102283, 2020 | 115 | 2020 |
| Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands XJ Luo, LO Oyedele, AO Ajayi, CG Monyei, OO Akinade, LA Akanbi Advanced Engineering Informatics 41, 100926, 2019 | 104 | 2019 |
| Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings XJ Luo, LO Oyedele, AO Ajayi, OO Akinade, JMD Delgado, HA Owolabi, ... Energy and AI 2, 100015, 2020 | 66 | 2020 |
| Development of clustering-based sensor fault detection and diagnosis strategy for chilled water system XJ Luo, KF Fong, YJ Sun, MKH Leung Energy and Buildings 186, 17-36, 2019 | 66 | 2019 |
| Development of integrated demand and supply side management strategy of multi-energy system for residential building application XJ Luo, KF Fong Applied Energy 242, 570-587, 2019 | 65 | 2019 |
| Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine XJ Luo, KF Fong Energy Conversion and Management 154, 538-561, 2017 | 49 | 2017 |
| A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand XJ Luo Journal of Building Engineering 32, 101504, 2020 | 44 | 2020 |
| Assessment and optimisation of life cycle environment, economy and energy for building retrofitting XJ Luo, LO Oyedele Energy for Sustainable Development 65, 77-100, 2021 | 42 | 2021 |
| Retrofitting existing office buildings towards life-cycle net-zero energy and carbon XJ Luo Sustainable Cities and Society 83, 103956, 2022 | 40 | 2022 |
| Life cycle assessment approach for renewable multi-energy system: A comprehensive analysis XJ Luo, LO Oyedele, HA Owolabi, M Bilal, AO Ajayi, OO Akinade Energy Conversion and Management 224, 113354, 2020 | 38 | 2020 |
| Development of 2D dynamic model for hydrogen-fed and methane-fed solid oxide fuel cells XJ Luo, KF Fong Journal of Power Sources 328, 91-104, 2016 | 35 | 2016 |
| Two-stage capacity optimization approach of multi-energy system considering its optimal operation XJ Luo, LO Oyedele, OO Akinade, AO Ajayi Energy and AI 1, 100005, 2020 | 33 | 2020 |
| Life cycle optimisation of building retrofitting considering climate change effects XJ Luo, LO Oyedele Energy and Buildings 258, 111830, 2022 | 32 | 2022 |
| A data-driven life-cycle optimisation approach for building retrofitting: A comprehensive assessment on economy, energy and environment XJ Luo, LO Oyedele Journal of Building Engineering 43, 102934, 2021 | 27 | 2021 |
| Design optimisation and performance appraisal of a combined cooling, heating and power system primed with Maisotsenko combustion turbine cycle G Zhu, TT Chow, KF Fong, CK Lee, XJ Luo Energy Conversion and Management 177, 91-106, 2018 | 27 | 2018 |
| Investigation on part-load performances of combined cooling and power system primed by solid oxide fuel cell with different bottoming cycles XJ Luo, KF Fong Journal of Power Sources 429, 127-148, 2019 | 26 | 2019 |
| A self-adaptive deep learning model for building electricity load prediction with moving horizon X Luo, LO Oyedele Machine Learning with Applications 7, 100257, 2022 | 24 | 2022 |
| Novel pattern recognition-enhanced sensor fault detection and diagnosis for chiller plant XJ Luo, KF Fong Energy and Buildings 228, 110443, 2020 | 22 | 2020 |
