Xiaojun Luo's Outputs (35)

Understanding criminogenic features: Case studies of cryptocurrencies based financial crimes (2024)
Journal Article

The primary objective of this paper is to comprehensively examine the intricate relationship between cryptocurrency and criminal enterprises, shedding light on the methods, mechanisms, and implications of cryptocurrency use in various financial crime... Read More about Understanding criminogenic features: Case studies of cryptocurrencies based financial crimes.

Exploring generation Z consumers’ purchase intention towards green products during the COVID-19 pandemic in China (2024)
Journal Article

China's Generation Z consumers are gradually developing an awareness of environmental issues and a willingness to purchase green products. Meanwhile, the COVID-19 pandemic has affected various traditional industries worldwide. This study aims to expl... Read More about Exploring generation Z consumers’ purchase intention towards green products during the COVID-19 pandemic in China.

Determining the impacting factors on performance of inventory management in the large-scale apparel manufacturing industry in Sri Lanka (2024)
Journal Article

The Sri Lankan economy depends heavily on the labour-intensive garment sector; thus, supply chain management plays a crucial role in its operation. Inventory management is an important activity when comparing supply chain management in the garment se... Read More about Determining the impacting factors on performance of inventory management in the large-scale apparel manufacturing industry in Sri Lanka.

A novel prediction model to evaluate the dynamic interrelationship between gold and crude oil (2024)
Journal Article

Global events, such as the pandemic and European conflicts, have caused significant inflation and high volatility in gold and crude oil prices. This has garnered substantial international attention while banks, governments, and businesses are devoted... Read More about A novel prediction model to evaluate the dynamic interrelationship between gold and crude oil.

Towards net-zero community through blockchain-based peer-to-peer energy trading among multiple building blocks (2023)
Presentation / Conference Contribution

In the UK, most commercial and domestic buildings still rely on utility companies and centralised energy systems for satisfying heating and electrical energy demands. These centralised energy systems often have high computational burdens and adverse... Read More about Towards net-zero community through blockchain-based peer-to-peer energy trading among multiple building blocks.

Blockchain and machine learning-based decentralized energy trading platform (2023)
Presentation / Conference Contribution

In most buildings, gas and electricity are supplied through centralised energy systems operated by major energy and utility companies. This results in a high burden on central management systems, while energy prices are determined by these companies... Read More about Blockchain and machine learning-based decentralized energy trading platform.

Proposal to map critical factors of PMBoK to CyBOK Knowledge Areas (2023)
Presentation / Conference Contribution

The proposed objective of this research is to map critical factors of CYBOK’s knowledgebase under Human, Organisational & Regulatory Aspects (Risk Management & Governance, Law & Regulation, Human Factors, Privacy & Online Rights) with the knowledge a... Read More about Proposal to map critical factors of PMBoK to CyBOK Knowledge Areas.

Towards a blockchain and machine learning-based framework for decentralised energy management (2023)
Journal Article

In most domestic buildings, gas and electricity are supplied by energy and utility companies through centralised energy systems. This often results in a high burden on central management systems and has adverse effects on energy prices. Blockchain-ba... Read More about Towards a blockchain and machine learning-based framework for decentralised energy management.

The impact of fundamental factors and sentiments on the valuation of cryptocurrencies (2023)
Journal Article

The valuation of cryptocurrencies is important given the increasing significance of this potential asset class. However, most state-of-the-art cryptocurrency valuation methods only focus on one of the fundamental factors or sentiments and use out-of-... Read More about The impact of fundamental factors and sentiments on the valuation of cryptocurrencies.

Network effects and store-of-value features in the cryptocurrency market (2023)
Journal Article

It is important to determine the network effects and store-of-value feature of cryptocurrencies due to the argument that it could be considered as a new ‘asset class’. Current studies on cryptocurrencies' network effects mainly focused on using Metca... Read More about Network effects and store-of-value features in the cryptocurrency market.

An integrated passive and active retrofitting approach toward minimum whole-life carbon footprint (2023)
Journal Article

The state-of-the-art retrofitting strategies generally use either passive or active measures to reduce carbon emissions during its operating stage. The coordination among a range of passive and active energy devices is not considered while the concep... Read More about An integrated passive and active retrofitting approach toward minimum whole-life carbon footprint.

A hybrid multiple sensor fault detection, diagnosis and reconstruction algorithm for chiller plants (2023)
Journal Article

In a chiller plant, primary or critical sensors are used to control the system operation while secondary sensors are installed to monitor the performance/health of individual equipment. Current sensor fault detection and diagnosis (SFDD) approaches a... Read More about A hybrid multiple sensor fault detection, diagnosis and reconstruction algorithm for chiller plants.

Retrofitting existing office buildings towards life-cycle net-zero energy and carbon (2022)
Journal Article

Background
Energy devices for achieving net-zero operating energy and carbon generally entails additional embodied energy and carbon during the production and disposal stages. For a building to be considered as truly life-cycle net-zero, the energy... Read More about Retrofitting existing office buildings towards life-cycle net-zero energy and carbon.

Life cycle optimisation of building retrofitting considering climate change effects (2022)
Journal Article

Novelty: Climate change has significant impacts on building energy performance. A novel life cycle optimisation strategy is developed for determining optimal retrofitting solutions for office buildings with climate change effects taken into considera... Read More about Life cycle optimisation of building retrofitting considering climate change effects.

A self-adaptive deep learning model for building electricity load prediction with moving horizon (2022)
Journal Article

A self-adaptive deep learning model powered by ranking selection-based particle swarm optimisation (RSPSO) is developed to predict electricity load in buildings with moving horizons. The main features of the load prediction model include its self-ada... Read More about A self-adaptive deep learning model for building electricity load prediction with moving horizon.

Integrated life-cycle optimisation and supply-side management for building retrofitting (2021)
Journal Article

Building retrofitting is a powerful approach to enhance building energy performance. The net-zero ambition urges the need to renovate building energy system in view of the life-cycle optimal, to address climate and environmental challenges. Existing... Read More about Integrated life-cycle optimisation and supply-side management for building retrofitting.

Assessment and optimisation of life cycle environment, economy and energy for building retrofitting (2021)
Journal Article

Building retrofitting plays a vital role in realising net-zero carbon ambition. Conventional retrofitting solutions are generally based upon decreasing operating energy usage or corresponding costs. However, many of these would increase the embodied... Read More about Assessment and optimisation of life cycle environment, economy and energy for building retrofitting.

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm (2021)
Journal Article

The real-world building can be regarded as a comprehensive energy engineering system; its actual energy consumption depends on complex affecting factors, including various weather data and time signature. Accurate energy consumption forecasting and e... Read More about Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm.

A data-driven life-cycle optimisation approach for building retrofitting: A comprehensive assessment on economy, energy and environment (2021)
Journal Article

A novel data-driven life-cycle optimisation approach is proposed for building retrofitting. The innovation points include big-data information, integrated retrofitting design, and life-cycle optimisation through a comprehensive assessment of the econ... Read More about A data-driven life-cycle optimisation approach for building retrofitting: A comprehensive assessment on economy, energy and environment.

Life cycle assessment approach for renewable multi-energy system: A comprehensive analysis (2020)
Journal Article

In response to the gradual degradation of natural sources, there is a growing interest in adopting renewable resources for various building energy supply. In this study, a comprehensive life cycle assessment approach is proposed for a renewable multi... Read More about Life cycle assessment approach for renewable multi-energy system: A comprehensive analysis.

Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings (2020)
Journal Article

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

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

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

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

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

© 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

© 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

© 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.

Development of integrated demand and supply side management strategy of multi-energy system for residential building application (2019)
Journal Article

© 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

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

© 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

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

© 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)
Presentation / Conference Contribution

© 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

© 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.