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Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings (2020)
Journal Article
Luo, X., Oyedele, L. O., Ajayi, A. O., Akinade, O. O., Delgado, J. M. D., Owolabi, H. A., & Ahmed, A. (2020). Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings. Energy and AI, 2, https://doi.org/10.1016/j.egyai.2020.100015

A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to the comprehensive r... Read More about Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings.

Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads (2020)
Journal Article
Luo, X. J., Oyedele, L. O., Ajayi, A. O., & Akinade, O. O. (2020). Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads. Sustainable Cities and Society, 61, https://doi.org/10.1016/j.scs.2020.102283

Buildings are one of the significant sources of energy consumption and greenhouse gas emission in urban areas all over the world. Lighting control and building integrated photovoltaic (BIPV) are two effective measures in reducing overall primary ener... Read More about Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads.

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings (2020)
Journal Article
Luo, X. J., Oyedele, L. O., Ajayi, A. O., Akinade, O. O., Owolabi, H. A., & Ahmed, A. (2020). Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings. Renewable and Sustainable Energy Reviews, 131, https://doi.org/10.1016/j.rser.2020.109980

Accurate forecast of energy consumption is essential in building energy management. Owing to the variation of outdoor weather condition among different seasons, year-round historical weather profile is needed to investigate its feature thoroughly. Da... Read More about Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings.

A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand (2020)
Journal Article
Luo, X. J. (2020). A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand. Journal of Building Engineering, 32, https://doi.org/10.1016/j.jobe.2020.101504

To accurately predict hourly day-ahead building cooling demand, year-round historical weather profile needs to be evaluated. The daily weather profiles among different time periods result in various features of historical datasets. The different appr... Read More about A novel clustering-enhanced adaptive artificial neural network model for predicting day-ahead building cooling demand.

Two-stage capacity optimization approach of multi-energy system considering its optimal operation (2020)
Journal Article
Luo, X., Oyedele, L. O., Akinade, O. O., & Ajayi, A. O. (2020). Two-stage capacity optimization approach of multi-energy system considering its optimal operation. Energy and AI, 1, https://doi.org/10.1016/j.egyai.2020.100005

With the depletion of fossil fuel and climate change, multi-energy systems have attracted widespread attention in buildings. Multi-energy systems, fuelled by renewable energy, including solar and biomass energy, are gaining increasing adoption in com... Read More about Two-stage capacity optimization approach of multi-energy system considering its optimal operation.

3D pattern identification approach for cooling load profiles in different buildings (2020)
Journal Article
Luo, X. J., Oyedele, L. O., Akinade, O., & Ajayi, A. O. (2020). 3D pattern identification approach for cooling load profiles in different buildings. Journal of Building Engineering, 31, 101339. https://doi.org/10.1016/j.jobe.2020.101339

© 2020 Elsevier Ltd Building energy conservation has gained increasing concern owing to its large portion of energy consumption and great potential of energy saving. In-depth understanding of representative patterns of daily cooling load profile will... Read More about 3D pattern identification approach for cooling load profiles in different buildings.

Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands (2019)
Journal Article
Luo, X. J., Oyedele, L. O., Ajayi, A. O., Monyei, C. G., Akinade, O. O., & Akanbi, L. A. (2019). Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands. Advanced Engineering Informatics, 41, 100926. https://doi.org/10.1016/j.aei.2019.100926

© 2019 Elsevier Ltd The emerging technologies of the Internet of Things (IoT) and big data can be utilised to derive knowledge and support applications for energy-efficient buildings. Effective prediction of heating and cooling demands is fundamental... Read More about Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands.

Investigation on part-load performances of combined cooling and power system primed by solid oxide fuel cell with different bottoming cycles (2019)
Journal Article
Luo, X. J., & Fong, K. F. (2019). Investigation on part-load performances of combined cooling and power system primed by solid oxide fuel cell with different bottoming cycles. Journal of Power Sources, 429, 127-148. https://doi.org/10.1016/j.jpowsour.2019.04.095

© 2019 Elsevier B.V. In hot-humid cities, conventional trigeneration can be reduced to combined cooling and power system. Solid oxide fuel cell is a high-temperature prime mover with high electrical efficiency, its efficiency may be further boosted u... Read More about Investigation on part-load performances of combined cooling and power system primed by solid oxide fuel cell with different bottoming cycles.

Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south (2019)
Journal Article
Monyei, C. G., Oyedele, L. O., Akinade, O. O., Ajayi, A. O., & Luo, X. J. (2019). Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south. Energy Research and Social Science, 54, 113-116. https://doi.org/10.1016/j.erss.2019.04.005

© 2019 The unavailability of tangible policy benchmarks continues to mitigate against sustainable electrification in the global south. Furthermore, incoherent policy benchmarks as to what should constitute clean energy allow for varying interpretatio... Read More about Benchmarks for energy access: Policy vagueness and incoherence as barriers to sustainable electrification of the global south.

Development of integrated demand and supply side management strategy of multi-energy system for residential building application (2019)
Journal Article
Luo, X. J., & Fong, K. F. (2019). Development of integrated demand and supply side management strategy of multi-energy system for residential building application. Applied Energy, 242, 570-587. https://doi.org/10.1016/j.apenergy.2019.03.149

© 2019 Elsevier Ltd The multi-energy system that contains the highly coupled energy supply equipment units can be adopted to simultaneously satisfy the cooling, heating and electrical energy demands. Owing to the complex nature of multiple supplies a... Read More about Development of integrated demand and supply side management strategy of multi-energy system for residential building application.

Development of clustering-based sensor fault detection and diagnosis strategy for chilled water system (2019)
Journal Article
Luo, X. J., Fong, K. F., Sun, Y. J., & Leung, M. K. (2019). Development of clustering-based sensor fault detection and diagnosis strategy for chilled water system. Energy and Buildings, 186, 17-36. https://doi.org/10.1016/j.enbuild.2019.01.006

This paper presents a new clustering-based sensor fault detection and diagnosis (SFDD) strategy for chilled water system. For data clustering, k-means algorithm was used and the optimal quantity of clusters was determined by Davis-Bouldin value. With... Read More about Development of clustering-based sensor fault detection and diagnosis strategy for chilled water system.

Design optimisation and performance appraisal of a combined cooling, heating and power system primed with Maisotsenko combustion turbine cycle (2018)
Journal Article
Zhu, G., Chow, T. T., Fong, K. F., Lee, C. K., & Luo, X. J. (2018). Design optimisation and performance appraisal of a combined cooling, heating and power system primed with Maisotsenko combustion turbine cycle. Energy Conversion and Management, 177, 91-106. https://doi.org/10.1016/j.enconman.2018.09.048

© 2018 Elsevier Ltd Buildings are the significant primary energy consumption and pollutant emission contributors in a modern city. Distributed multi-generation systems such as combined cooling, heating and power (CCHP) systems are considered an alter... Read More about Design optimisation and performance appraisal of a combined cooling, heating and power system primed with Maisotsenko combustion turbine cycle.

Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine (2017)
Journal Article
Luo, X., & Fong, K. F. (2017). Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine. Energy Conversion and Management, 154, 538-561. https://doi.org/10.1016/j.enconman.2017.11.032

Combined cooling, heating and power (CCHP) system with the prime mover set of solid oxide fuel cell-gas turbine (SOFC-GT) would feature with high electrical efficiency, but contain the highly coupled equipment units for cooling, heating and electrici... Read More about Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine.

Parametric study of heat transfer enhancement on cross-flow heat exchangers (2017)
Journal Article
Luo, X. (2017). Parametric study of heat transfer enhancement on cross-flow heat exchangers. Chemical Engineering and Processing: Process Intensification, 121, 81-89. https://doi.org/10.1016/j.cep.2017.07.014

© 2017 Elsevier B.V. Energy crisis is increasingly serious all over the world, therefore, energy saving and efficiency enhancement is on the focus. Technology in heat transfer enhancement, which can improve efficiency of heat exchangers, is always at... Read More about Parametric study of heat transfer enhancement on cross-flow heat exchangers.

Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application (2017)
Journal Article
Luo, X. J., & Fong, K. F. (2017). Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application. Energy Procedia, 105, 1883-1888. https://doi.org/10.1016/j.egypro.2017.03.552

© 2017 The Authors. This paper presents a control strategy for a combined cooling and power (CCP) system using a prime mover of solid oxide fuel cell (SOFC) with bottoming cycle of gas turbine (GT) for building application. Dynamic simulation model o... Read More about Control Optimization of Combined Cooling and Power System with Prime Mover of Solid Oxide Fuel Cell-gas Turbine for Building Application.

Development of 2D dynamic model for hydrogen-fed and methane-fed solid oxide fuel cells (2016)
Journal Article
Luo, X. J., & Fong, K. F. (2016). Development of 2D dynamic model for hydrogen-fed and methane-fed solid oxide fuel cells. Journal of Power Sources, 328, 91-104. https://doi.org/10.1016/j.jpowsour.2016.08.005

© 2016 Elsevier B.V. A new two-dimensional (2D) dynamic model is developed in Fortran to study the mass and energy transport, the velocity field and the electrochemical phenomena of high-temperature solid oxide fuel cell (SOFC). The key feature of th... Read More about Development of 2D dynamic model for hydrogen-fed and methane-fed solid oxide fuel cells.


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