OOIR: Observatory of International Research

Papers

(The H4-Index of Energy and Buildings is 66. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Review of 50 years of EU energy efficiency policies for buildings	287
A review of the-state-of-the-art in data-driven approaches for building energy prediction	221
Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review	204
Assessment of the renewable energy generation towards net-zero energy buildings: A review	160
Enhanced thermophysical properties of organic PCM through shape stabilization for thermal energy storage in buildings: A state of the art review	160
Review of technological design options for building integrated photovoltaics (BIPV)	155
A critical review on phase change materials (PCM) for sustainable and energy efficient building: Design, characteristic, performance and application	138
A review of adaptive thermal comfort research since 1998	121
Technological options and strategies towards zero energy buildings contributing to climate change mitigation: A systematic review	120
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings	119
Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data	119
A review of liquid desiccant air dehumidification: From system to material manipulations	112
Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses -A review	112
Will the urbanization process influence the peak of carbon emissions in the building sector? A dynamic scenario simulation	108
Optimizing PCM-integrated walls for potential energy savings in U.S. Buildings	107
Life cycle assessment of the building industry: An overview of two decades of research (1995–2018)	107
Designing the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems	106
Energy performance of existing residential buildings in Europe: A novel approach combining energy with seismic retrofitting	106
Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis	105
Personal comfort systems: A review on comfort, energy, and economics	98
A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data	97
A review of integrated radiant heating/cooling with ventilation systems- Thermal comfort and indoor air quality	97
A review of internal and external influencing factors on energy efficiency design of buildings	96
Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification	96
Inorganic phase change materials in thermal energy storage: A review on perspectives and technological advances in building applications	95

A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings	95
Review on occupant-centric thermal comfort sensing, predicting, and controlling	94
Multi-objective optimization of building retrofit in the Mediterranean climate by means of genetic algorithm application	94
Occupant-density-detection based energy efficient ventilation system: Prevention of infection transmission	94
A building energy consumption prediction model based on rough set theory and deep learning algorithms	93
A review of building occupancy measurement systems	93
Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review	91
Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms	91
A Digital Twin predictive maintenance framework of air handling units based on automatic fault detection and diagnostics	88
Heat mitigation technologies can improve sustainability in cities. An holistic experimental and numerical impact assessment of urban overheating and related heat mitigation strategies on energy consum	87
Indoor environmental quality related risk factors with energy-efficient retrofitting of housing: A literature review	86
Resilient cooling of buildings to protect against heat waves and power outages: Key concepts and definition	85
Nature-inspired hybrid techniques of IWO, DA, ES, GA, and ICA, validated through a k-fold validation process predicting monthly natural gas consumption	83
Does telecommuting save energy? A critical review of quantitative studies and their research methods	83
A comparative life cycle assessment (LCA) of different insulation materials for buildings in the continental Mediterranean climate	81
Calibrating building energy simulation models: A review of the basics to guide future work	81
Combination of short-term load forecasting models based on a stacking ensemble approach	81
Effective PCM, insulation, natural and/or night ventilation techniques to enhance the thermal performance of buildings located in various climates – A review	81
A long short-term memory artificial neural network to predict daily HVAC consumption in buildings	80
Embodied energy and embodied carbon of structural building materials: Worldwide progress and barriers through literature map analysis	79
High energy efficiency ventilation to limit COVID-19 contagion in school environments	78
Energy-saving potential of 3D printed concrete building with integrated living wall	77
CFD simulation of natural ventilation of a generic building in various incident wind directions: Comparison of turbulence modelling, evaluation methods, and ventilation mechanisms	76
Coupled EnergyPlus and CFD analysis of PCM for thermal management of buildings	75
Aerogel based thermal insulating cementitious composites: A review	75
NILM applications: Literature review of learning approaches, recent developments and challenges	74
Effects of climate change on variations in climatic zones and heating energy consumption of residential buildings in the southern Chile	73
Aerogel glazing systems for building applications: A review	73
Building energy prediction using artificial neural networks: A literature survey	72
Building-Integrated Photovoltaic (BIPV) products and systems: A review of energy-related behavior	70
A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process	70
Predicting hourly heating load in a district heating system based on a hybrid CNN-LSTM model	70
Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review	70
Effectiveness of passive design strategies in responding to future climate change for residential buildings in hot and humid Hong Kong	69
Resilient cooling strategies – A critical review and qualitative assessment	69
How do urban residents use energy for winter heating at home? A large-scale survey in the hot summer and cold winter climate zone in the Yangtze River region	69
Intelligent buildings: An overview	68
Selection of phase change material for improved performance of Trombe wall systems using the entropy weight and TOPSIS methodology	68
The effect of lighting environment on task performance in buildings – A review	67
Modelling heating and cooling energy demand for building stock using a hybrid approach	67
Multi-factor analysis on thermal comfort and energy saving potential for PCM-integrated buildings in summer	67
Application of phase change material in improving trombe wall efficiency: An up-to-date and comprehensive overview	66
Factors influencing embodied carbon emissions of China's building sector: An analysis based on extended STIRPAT modeling	66
Climate change impacts on trends and extremes in future heating and cooling demands over Europe	66
A data mining-based framework for the identification of daily electricity usage patterns and anomaly detection in building electricity consumption data	66
Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives	66
Transfer learning-based strategies for fault diagnosis in building energy systems	66