OOIR: Observatory of International Research

Papers

(The H4-Index of Energy and Buildings is 65. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)

Article	Citations
Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review	238
Assessment of the renewable energy generation towards net-zero energy buildings: A review	199
Enhanced thermophysical properties of organic PCM through shape stabilization for thermal energy storage in buildings: A state of the art review	182
A critical review on phase change materials (PCM) for sustainable and energy efficient building: Design, characteristic, performance and application	181
Review of technological design options for building integrated photovoltaics (BIPV)	178
Designing the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems	145
Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis	133
Optimizing PCM-integrated walls for potential energy savings in U.S. Buildings	125
Inorganic phase change materials in thermal energy storage: A review on perspectives and technological advances in building applications	118
Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification	117
Will the urbanization process influence the peak of carbon emissions in the building sector? A dynamic scenario simulation	116
A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics	115
Review on occupant-centric thermal comfort sensing, predicting, and controlling	114
Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms	110
A building energy consumption prediction model based on rough set theory and deep learning algorithms	105
Resilient cooling of buildings to protect against heat waves and power outages: Key concepts and definition	103
Building energy prediction using artificial neural networks: A literature survey	101
Effective PCM, insulation, natural and/or night ventilation techniques to enhance the thermal performance of buildings located in various climates – A review	100
Occupant-density-detection based energy efficient ventilation system: Prevention of infection transmission	100
Calibrating building energy simulation models: A review of the basics to guide future work	99
Embodied energy and embodied carbon of structural building materials: Worldwide progress and barriers through literature map analysis	95
Aerogel based thermal insulating cementitious composites: A review	93
Building-Integrated Photovoltaic (BIPV) products and systems: A review of energy-related behavior	93
NILM applications: Literature review of learning approaches, recent developments and challenges	90
Aerogel glazing systems for building applications: A review	89

Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model	88
Resilient cooling strategies – A critical review and qualitative assessment	86
High energy efficiency ventilation to limit COVID-19 contagion in school environments	86
Effectiveness of passive design strategies in responding to future climate change for residential buildings in hot and humid Hong Kong	85
Coupled EnergyPlus and CFD analysis of PCM for thermal management of buildings	84
A data mining-based framework for the identification of daily electricity usage patterns and anomaly detection in building electricity consumption data	84
Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network	84
Policies for energy conservation and sufficiency: Review of existing policies and recommendations for new and effective policies in OECD countries	84
Using BIM to improve building energy efficiency – A scientometric and systematic review	83
Thermal energy storage using phase change materials in building applications: A review of the recent development	83
Application of machine learning in thermal comfort studies: A review of methods, performance and challenges	81
Application of phase change material in improving trombe wall efficiency: An up-to-date and comprehensive overview	80
CFD simulation of natural ventilation of a generic building in various incident wind directions: Comparison of turbulence modelling, evaluation methods, and ventilation mechanisms	79
Climate change impacts on trends and extremes in future heating and cooling demands over Europe	78
Short-term electric load forecasting using an EMD-BI-LSTM approach for smart grid energy management system	78
Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives	78
The effect of lighting environment on task performance in buildings – A review	77
Modelling heating and cooling energy demand for building stock using a hybrid approach	77
Multi-factor analysis on thermal comfort and energy saving potential for PCM-integrated buildings in summer	77
A bibliometric review of net zero energy building research 1995–2022	75
Gender differences in metabolic rates and thermal comfort in sedentary young males and females at various temperatures	75
Transfer learning-based strategies for fault diagnosis in building energy systems	75
A hybrid RF-LSTM based on CEEMDAN for improving the accuracy of building energy consumption prediction	75
Factors influencing embodied carbon emissions of China's building sector: An analysis based on extended STIRPAT modeling	74
Future energy-optimised buildings — Addressing the impact of climate change on buildings	74
Current and future coating technologies for architectural glazing applications	74
Thermal comfort and energy performance of personal comfort systems (PCS): A systematic review and meta-analysis	74
Building power consumption datasets: Survey, taxonomy and future directions	72
Multiobjective optimization of building energy consumption and thermal comfort based on integrated BIM framework with machine learning-NSGA II	71
Building HVAC control with reinforcement learning for reduction of energy cost and demand charge	70
Thermoelectric air conditioning undergarment for personal thermal management and HVAC energy saving	69
Fault detection diagnostic for HVAC systems via deep learning algorithms	69
On the impact of nature-based solutions on citizens’ health & well being	68
Improving the energy efficiency of passive PCM system using controlled natural ventilation	67
Using urban building energy modelling (UBEM) to support the new European Union’s Green Deal: Case study of Dublin Ireland	67
Data driven indoor air quality prediction in educational facilities based on IoT network	66
Holistic life-cycle accounting of carbon emissions of prefabricated buildings using LCA and BIM	65
Energy poverty. How can you fight it, if you can’t measure it?	65
An experimental investigation of CuO/water nanofluid heat transfer in geothermal heat exchanger	65
Multi-objective two-stage adaptive robust planning method for an integrated energy system considering load uncertainty	65