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Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps

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inferred← citeshttps://doi.org/10.1016/j.enbuild.2024.115115openalex-snapshot
An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117240openalex-snapshot
A review of explainable data-driven building energy benchmarking at multiple time scales
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117530openalex-snapshot
A cross-building few-shot energy load forecasting framework via transferable temporal learning and residual correction
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117902openalex-snapshot
Modelling the individual in the aggregate: A quantitative analysis of user behaviour impact on urban energy consumption
inferred← citeshttps://doi.org/10.1016/j.energy.2025.135948openalex-snapshot
Off-grid PV systems modelling and optimisation for rural communities - leveraging understandability and interpretability of modelling tools
inferred← citeshttps://doi.org/10.1016/j.energy.2025.136869openalex-snapshot
Informing heating electrification and prosumer-based solutions toward decarbonisation targets via a multi-objective optimization in grid-connected PV systems in rural buildings
inferred← citeshttps://doi.org/10.1016/j.energy.2025.139148openalex-snapshot
Deep learning classification approaches and applications for energy performance certificates (EPCs)
inferred← citeshttps://doi.org/10.1016/j.esd.2026.102058openalex-snapshot
Integration of digital twin and machine learning technologies in renewable energy–hydrogen systems for next-generation sustainable energy
inferred← citeshttps://doi.org/10.1016/j.ijhydene.2025.151462openalex-snapshot
Interpretable knowledge-guided machine learning for prediction wettability hydrogen-rocks/minerals-brine system in underground hydrogen storage project
inferred← citeshttps://doi.org/10.1016/j.jobe.2024.111150openalex-snapshot
Review of reducing energy consumption and carbon emissions through digital twin in built environment
inferred← citeshttps://doi.org/10.1016/j.jobe.2025.114214openalex-snapshot
Data-driven and physics-based modeling approaches and their integration in building digital twins: A systematic review
inferred← citeshttps://doi.org/10.1016/j.scs.2025.106492openalex-snapshot
A systematic review of explainable artificial intelligence in urban building energy modeling: methods, applications, and future directions
inferred← citeshttps://doi.org/10.1021/acs.iecr.5c02759openalex-snapshot
Hybrid Fusion Paradigm in Advanced Process Monitoring: A Panoramic Review and Future Perspectives
inferred← citeshttps://doi.org/10.1080/19401493.2026.2706831openalex-snapshot
Can occupant-centric control be generalizable? A practical occupancy-based framework for heating and cooling setpoint optimization in commercial buildings
inferred← citeshttps://doi.org/10.1108/mmms-05-2026-0173openalex-snapshot
Predicting and optimizing energy efficiency in buildings: a multi-output machine learning framework with explainability and constrained optimization
inferred← citeshttps://doi.org/10.1109/ceege70076.2026.11637724openalex-snapshot
Performance Evaluation and Modeling Analysis of Facade BIPV Systems Using Measured Data and Physical Simulation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-7383092/v1openalex-snapshot
A Pareto-optimal modeling procedure for thermostatically controlled loads
inferred← citeshttps://doi.org/10.2139/ssrn.6051457openalex-snapshot
A Physics-Based Curing Quality Index for Concrete Linking Moisture-Temperature-Hydration Coupling to Strength Development
inferred← citeshttps://doi.org/10.2139/ssrn.6923104openalex-snapshot
Internal Operational Drivers over Weather: An Interpretable Clustering–Regression Framework for Daily Energy Profiles in High-Performance Buildings
inferred← citeshttps://doi.org/10.2139/ssrn.7151174openalex-snapshot
How much physics is enough? A minimum-input hybrid model with uncalibrated EnergyPlus for out-of-distribution set point prediction: a case study of temperature setbacks in a multi-zone campus building
inferred← citeshttps://doi.org/10.3389/fenvs.2026.1728506openalex-snapshot
An interpretable building air conditioning load forecasting framework using SSA-optimized Bi-LSTM and SHAP analysis
inferred← citeshttps://doi.org/10.3390/architecture5020024openalex-snapshot
Transforming Building Energy Management: Sparse, Interpretable, and Transparent Hybrid Machine Learning for Probabilistic Classification and Predictive Energy Modelling
inferred← citeshttps://doi.org/10.3390/buildings15070994openalex-snapshot
Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis
inferred← citeshttps://doi.org/10.3390/buildings15224081openalex-snapshot
Large Language Models for Building Energy Retrofit Decision-Making: Technical and Sociotechnical Evaluations
inferred← citeshttps://doi.org/10.3390/buildings16020397openalex-snapshot
Explainable Machine Learning for Hospital Heating Plants: Feature-Driven Modeling and Analysis
inferred← citeshttps://doi.org/10.3390/buildings16183666openalex-snapshot
Diagnosing Popularity Collapse in Building Retrofit Shortlists from New York City Energy Audits
inferred← citeshttps://doi.org/10.3390/civileng7040070openalex-snapshot
Towards Interpretable Thermal Load Predictive Models: A Systematic Review
inferred← citeshttps://doi.org/10.3390/electronics13173550openalex-snapshot
Digital Twins in 3D Printing Processes Using Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/en18184888openalex-snapshot
Future Perspectives for Physics-Based Urban Building Energy Modelling Tools
inferred← citeshttps://doi.org/10.3390/en19112690openalex-snapshot
Physics-Informed Neural Networks for Real-Time Control of Grid-Forming Inverters: Embedding Physical System Laws into Deep Learning Architectures
inferred← citeshttps://doi.org/10.3390/su18157697openalex-snapshot
Energy and Operational-Carbon Coupling for Sustainable Beijing Hotel Design: Parametric EnergyPlus Simulation and Machine-Learning Surrogate Analysis
inferred← citeshttps://doi.org/10.3390/systems13070595openalex-snapshot
Building Information Modeling and Big Data in Sustainable Building Management: Research Developments and Thematic Trends via Data Visualization Analysis
inferred← citeshttps://doi.org/10.3390/urbansci9060202openalex-snapshot
Integrating Machine Learning and Digital Twins for Enhanced Smart Building Operation and Energy Management: A Systematic Review
inferred← citeshttps://doi.org/10.4018/979-8-3373-0081-8.ch001openalex-snapshot
Artificial Intelligence (AI) and Data Envelopment Analysis (DEA) in Healthcare
inferred← citeshttps://doi.org/10.52783/jier.v4i2.960openalex-snapshot
Explainable AI: Bridging the Gap between Machine Learning Models and Human Understanding
inferred← citeshttps://doi.org/10.54097/3dwqbf59openalex-snapshot
LLM-Enhanced Financial Appraisal of Mechanical Carbon Capture and Storage Systems through Automated Technical-Economic Analysis
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.