International Journal of Energy Research最新文献

{"title":"Architecture-Controlled Accident-Tolerant Fuel Cladding: From Surface Modification to Transition Multilayer Tubes","authors":"Ji-Hyeok Choi,&nbsp;Min Wook Kim,&nbsp;Su Hyeong Kim,&nbsp;Young Soo Yoon","doi":"10.1155/er/7271570","DOIUrl":"https://doi.org/10.1155/er/7271570","url":null,"abstract":"<p>The 2011 Fukushima accident highlighted the vulnerability of zirconium (Zr) alloy cladding to rapid oxidation and hydrogen generation under high-temperature steam conditions, accelerating the development of accident-tolerant fuel (ATF) cladding. This review examines ATF cladding technologies from a manufacturing-architecture perspective, emphasizing how processing routes define defect connectivity, interfacial evolution, long-tube uniformity, and qualification-relevant limitations. Vacuum-deposited Cr coatings are treated as a mature benchmark for outer-diameter (OD) protection, not as a universal solution, because they provide the most developed process-defect-interface datasets for Zr-based cladding. Nonvacuum approaches, including cold spray and electrodeposition, are then compared by separating inner diameter (ID) accessibility in principle from experimentally validated ID protection in long tubular geometries. Cold spray offers high-rate metallic layer buildup on accessible surfaces, whereas electrodeposition provides direct electrolyte-mediated access to confined surfaces; however, both routes require further validation of defect control, thickness uniformity, and long-tube reproducibility. Swaging-drawing methodology (SDM) is distinguished from coating-based routes because it incorporates ID-facing functionality into the tube architecture rather than forming a layer in situ on a confined surface. Building on these comparisons, conceptual transition multilayer architectures such as FeCrAl/Zr/FeCrAl are discussed as design extrapolations from available constituent- and interface-level evidence, with the aim of exploring partial material substitution and distributed protection. Their promise lies in redistributing oxidation-resistant and diffusion-controlling functions across the cladding cross section, whereas their engineering readiness depends on interfacial stability, buried-interface inspection, irradiation tolerance, fuel-cladding compatibility, and staged qualification testing. By organizing ATF cladding technologies according to evidence level, geometry, defect descriptors, interface state, scale-up readiness, and degradation mode, this review provides a critical framework for comparing current and emerging cladding architectures.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7271570","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149145953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation Between Synthesis Routes of Polythiophene (PTh)-Based Composites to Their Nano Structural Architecture and Performance for Scalable and Durable Supercapacitors","authors":"Aimon Hossain Faisal,&nbsp;Mohammad Mizanur Rahman Khan,&nbsp;Jae-Ho Jeong","doi":"10.1155/er/5113821","DOIUrl":"https://doi.org/10.1155/er/5113821","url":null,"abstract":"<p>Polythiophene (PTh)-based composites have emerged as encouraging electrode materials for next-generation supercapacitors owing to their high redox reversibility, tunable conductivity, and structural flexibility. Their electrochemical performance, however, is highly dependent on the synthesis strategy, which dictates the resulting morphology and interfacial characteristics. This review provides a comprehensive correlation between synthesis routes, such as in situ oxidative, electrochemical, hydrothermal, and template-assisted methods, and the resulting nano structural features, including porosity, surface uniformity, and molecular ordering. These morphological attributes govern charge transport, ion diffusion, and mechanical stability, thereby defining the capacitance, conductivity, and cycling life of PTh-based devices. Well-controlled architecture enables efficient utilization of active sites and balanced double-layer and pseudocapacitive behavior, while irregular morphologies and poor interfacial adhesion remain limiting factors. Addressing these challenges, this review offers a unified framework linking synthesis, morphology, and performance to identify design principles for scalable and durable PTh-based supercapacitors. By consolidating recent advances and mechanistic insights, this review aims to guide the scientific community toward developing high-efficiency, morphologically optimized, and sustainable energy storage systems.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5113821","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149145817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DeepSeek Driven Energy Management of Sustainable Waste Valorization Systems for Multi-Carrier Cost–Emission Optimization","authors":"Samal Syrlybekkyzy,&nbsp;Mohamed Salem,&nbsp;Dinmukhambet Baimbetov,&nbsp;Yerzhanov Kalyy,&nbsp;Bauyrzhan Tynymbayev,&nbsp;Mohammad Alhuyi Nazari","doi":"10.1155/er/6136839","DOIUrl":"https://doi.org/10.1155/er/6136839","url":null,"abstract":"<p>This paper presents a comprehensive energy management framework for a sustainable waste valorization system (SWVS) integrating electricity, heat, cooling, natural gas, hydrogen, and waste-to-energy infrastructures within a unified multi-energy system (MES). The proposed configuration incorporates sustainable resources (wind turbines [WTs] and photovoltaic [PV] units), alongside combined heat and power (CHP), waste-to-energy plants (WTPs), multi-vector energy storage technologies, carbon capture, utilization, and storage (CCUS), and methanation reactors to enable circular carbon utilization. A detailed nonlinear mathematical model is developed to capture realistic operational characteristics, including coupled electricity-heat production, multi-carrier storage dynamics, pollutant emissions (CO₂, SO₂, and NO₂), and energy balance constraints across all carriers. To address the high dimensionality, strong nonlinear coupling, and uncertainty inherent in SWVS operation, an advanced energy management strategy based on DeepSeek with Group Relative Policy Optimization (GRPO) is developed. Unlike conventional actor-critic approaches, the DeepSeek-GRPO method eliminates value-function approximation and directly optimizes policies through multi-action sampling and reward-based advantage estimation, leading to enhanced training stability, scalability, and constraint adherence. The proposed framework simultaneously minimizes total operational cost and environmental emissions while satisfying technical and operational constraints. Comprehensive analysis demonstrates that the proposed DeepSeek-GRPO approach provides a high level of scheduling operation for integrated sustainable waste valorization and MES operation.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6136839","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149145528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scenario-Based Configuration of Green Energy Systems for Highway Service Areas","authors":"Xiaofeng Di,&nbsp;Zekun Huang,&nbsp;Jing Deng,&nbsp;Shuo Zhang,&nbsp;Yufei Zhang","doi":"10.1155/er/2190749","DOIUrl":"https://doi.org/10.1155/er/2190749","url":null,"abstract":"<p>Planning multisource green energy systems for highway service areas (HSAs) requires appropriate renewable energy capacity and system configurations adapted to local power supply conditions. This study proposes a scenario-based two-stage framework integrating project-level photovoltaic (PV) capacity determination with subsequent configuration optimization. First, a fuzzy comprehensive hierarchical evaluation (FCHE) model incorporates economic, environmental, and reliability considerations to determine the PV capacity planning coefficient. Second, differentiated objectives and constraints are established for grid-connected and off-grid scenarios, and HOMER Pro is used to optimize system configurations. Applied to the Guanyang Service Area in Guangxi, China, the framework yields a PV design capacity of approximately 400 kWp. Under the grid-connected scenario, the PV-storage-grid configuration with a 60% minimum renewable fraction reduces annual CO₂ emissions by approximately 60% compared with pure grid supply. Under the off-grid scenario, the PV-storage-diesel configuration achieves the lowest net present cost (NPC) among the evaluated schemes and reduces lifecycle cost by 40.7% compared with diesel-only supply. Sensitivity analysis shows that further PV capacity expansion beyond 400 kWp produces progressively smaller lifecycle cost reductions. By linking multidimensional PV capacity assessment with scenario-specific configuration optimization, the framework provides an integrated project-level planning approach for HSAs. The results support renewable energy configuration decisions under different local resource and grid conditions.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2190749","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of Optimal Data Aggregation for Forecast Precision: Evidence From Pakistan Energy Datasets","authors":"Shafqat Abbas,&nbsp;Amena Urooj","doi":"10.1155/er/9959729","DOIUrl":"https://doi.org/10.1155/er/9959729","url":null,"abstract":"<p>Forecast accuracy of time-series data varies across different data aggregation levels, such as monthly, quarterly, or annually. This variation in forecast accuracy is due to the differing data generation processes at each aggregation level. Furthermore, using different data aggregation techniques (e.g., overlapping and nonoverlapping data aggregation) to forecast time series data can also result in conflicting outcomes. Which data aggregation level and technique offers the best improvement in forecast accuracy? This remains a topic of ongoing debate. This study aims to investigate the connection between time-series data features and forecast accuracy. Identify the optimal data aggregation level based on influential time series data features. The optimal level of data aggregation is at where lower the forecast error across different data aggregation levels. We utilized Pakistan’s electricity demand and sale datasets at various aggregation levels, including monthly, bi-monthly, and quarterly, and employed both data aggregation techniques, i.e., overlapping and nonoverlapping aggregation. The outcomes of the study reveal that certain time-series data features significantly influence forecast accuracy and offer deeper insights into enhancing forecast accuracy by selecting the optimal level of data aggregation based on time-series data features. The study explains the overestimation present in Pakistan’s electricity demand forecasts, which are based on yearly aggregation. The study demonstrates that the optimal data aggregation level for Pakistan’s electricity demand forecast is monthly or at least quarterly, which can significantly improve forecast accuracy. This optimal data aggregation is determined based on time-series data features, which vary with data aggregation levels. These findings highlight the significance of selecting an optimal data aggregation level based on time-series data features to improve forecast accuracy and offer practical guidance for policymakers, practitioners, and energy planners.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9959729","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First-Principles and AIMD Investigation of Physical Properties and Hydrogen Storage Performance of Dynamically Stable ATiH3 (A = Ca, Sr, and Ba) Perovskite Hydrides","authors":"Avijit Das Pritom,&nbsp;Tashikur Rahman,&nbsp;Jahirul Islam,&nbsp;Soumaya Gouadria,&nbsp;Dongjin Choi,&nbsp;Amani Mubarak Al-Farhan,&nbsp;Shima Sadaf,&nbsp;Faheem Shah,&nbsp;Asia Taher Almoraihel,&nbsp;Mir Waqas Alam","doi":"10.1155/er/2312280","DOIUrl":"https://doi.org/10.1155/er/2312280","url":null,"abstract":"<p>This study presents a comprehensive first-principles investigation of the ATiH₃ (A = Ca, Sr, and Ba) perovskite hydride series using density functional theory (DFT) and ab initio molecular dynamics (AIMD) simulations to evaluate their potential for solid-state hydrogen storage. Structural optimization confirmed that all three compounds are thermodynamically stable with cubic symmetry, while phonon dispersion and AIMD simulations verified their dynamical and thermal stability. Electronic structure calculations using generalized gradient approximation–Perdew–Burke–Ernzerhof (GGA–PBE) and HSE06 functionals revealed metallic behavior in CaTiH₃, SrTiH₃, and BaTiH₃, which is favorable for hydrogen diffusion and reversible hydrogen release. Mechanical analysis indicated a gradual transition from the relatively brittle and rigid CaTiH₃ to the more ductile BaTiH₃ with increasing A-site ionic radius, whereas optical calculations demonstrated strong ultraviolet absorption and high reflectivity at low photon energies. Hydrogen storage analysis showed that CaTiH₃, SrTiH₃, and BaTiH₃ exhibit gravimetric hydrogen storage capacities of 3.299, 2.166, and 1.594 wt% and volumetric capacities of 91.60, 89.90, and 73.30 g H₂ L⁻¹, respectively. Among them, CaTiH₃ is identified as the most promising candidate because its lower host-lattice molar mass results in the highest hydrogen storage capacity, while its stronger interatomic bonding, highest negative formation energy, greater lattice rigidity, and superior thermal stability provide a robust framework for hydrogen storage. These findings demonstrate that CaTiH₃ offers the best overall balance between structural stability and hydrogen storage performance, making it the most promising member of the ATiH₃ series for future solid-state hydrogen storage applications.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2312280","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic Design of GDLs to Decouple Independent Gas and Water Transport in PEM Fuel Cells via Laser Ablation","authors":"Youngjae Cho,&nbsp;Gyutae Park,&nbsp;Dongjin Kim,&nbsp;Jiwon Baek,&nbsp;Subin Jeong,&nbsp;Junseo Youn,&nbsp;Seonghyeon Yang,&nbsp;Jooyoung Lim,&nbsp;Junghyun Park,&nbsp;Kun-Woo Nam,&nbsp;Sung-Hoon Park,&nbsp;Taehyun Park","doi":"10.1155/er/6881415","DOIUrl":"https://doi.org/10.1155/er/6881415","url":null,"abstract":"<p>This study presents a laser-patterning strategy to optimize water management and enhance polymer electrolyte membrane fuel cell (PEMFC) performance by engineering the microporous layer (MPL) surface of gas diffusion layers (GDLs). By selectively introducing hydrophilic pathways onto inherently hydrophobic GDL surfaces, we achieved effective separation of water and gas transport paths without additional materials or complex multilayer processes. Our results demonstrate that hydrophilic paths aligned with the rib regions significantly outperform channel-aligned patterns by facilitating efficient water discharge from reaction sites. This structural modification leads to substantial peak power density improvements of 23.8%, 43.2%, and 27.2% under relative humidity (RH) conditions of 40%, 60%, and 100%, respectively, compared to the conventional cell. These findings highlight laser ablation as an effective approach for overcoming mass transport limitations in high-performance PEMFC systems.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6881415","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent Adaptive Super-Twisting Sliding Mode Control With RBF-Gain and ANN Sign Approximation for DFIG-Based Wind Energy Systems","authors":"Godspower S. Bruno,&nbsp;Diaa-Eldin A. Mansour,&nbsp;Ayman Nada,&nbsp;Manal M. Emara,&nbsp;Tamer F. Megahed","doi":"10.1155/er/8604305","DOIUrl":"https://doi.org/10.1155/er/8604305","url":null,"abstract":"<p>This paper presents a novel intelligent control strategy for the rotor-side converter (RSC) of a doubly-fed induction generator (DFIG) in wind energy conversion systems (WECS), integrating radial basis function (RBF) neural network-based adaptive gain tuning with an artificial neural network (ANN)-based sign-function approximation within the framework of a super-twisting sliding mode controller (STSMC). The proposed RBF–ANN STSMC dynamically adapts control gains in real-time based on the system tracking errors and smoothly approximates the discontinuous signum function to suppress chattering without compromising robustness. A Lyapunov-based stability analysis ensures finite-time convergence under system uncertainties and external disturbances. Extensive simulations in MATLAB/Simulink under diverse scenarios, including wind-speed transients, voltage dips, load disturbances, and parameter variations, demonstrate the superiority of the proposed controller over the standard STSMC controllers. Performance evaluations based on tracking accuracy, settling time, total harmonic distortion (THD), and smoothness of the control effort confirm enhanced robustness, disturbance rejection, and compliance with power quality standards. The integrated RBF–ANN architecture offers a promising and scalable solution for next-generation intelligent wind energy control systems.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8604305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliable Few-Shot Fault Diagnosis for Grid-Connected PV Systems: When Real-Only Training Outperforms Generative Synthesis","authors":"ByungKi Jeon,&nbsp;Sang-Woo Ha,&nbsp;Dongyun Lee,&nbsp;Jung-Soo Mun,&nbsp;HongJin Joo","doi":"10.1155/er/7339771","DOIUrl":"https://doi.org/10.1155/er/7339771","url":null,"abstract":"&lt;p&gt;We identify a reliable, low-compute few-shot diagnostic pipeline for grid-connected photovoltaic (PV) systems and quantify how far six modern generative synthesis methods fall short of it when their output is used as the classifier’s only training data. Training a 200-tree Random Forest directly on as few as five real waveform windows per fault class—what we call &lt;i&gt;k&lt;/i&gt;-shot real-only training (&lt;i&gt;k&lt;/i&gt;-shot TRTR)—achieves macro-F1 = 0.38 at &lt;i&gt;k&lt;/i&gt; = 5 and 0.74 at &lt;i&gt;k&lt;/i&gt; = 50 on the public GPVS-Faults benchmark, runs in seconds, and the entire audit executes in a few hours on a single consumer GPU. We benchmark this baseline against six generative methods—four conditional GAN baselines (cGAN, WGAN-GP, AC-GAN, FaultGAN) and two diffusion-prior hybrids (DP-cGAN, DP-AC-GAN)—plus a few-shot diffusion-only DDPM reference, across 376 trained pipelines (282 generative and 94 real-only reference runs across two datasets), three downstream classifiers (Random Forest, 1D-CNN, bidirectional LSTM), eight evaluation metrics, four few-shot regimes &lt;i&gt;k&lt;/i&gt; ∈ {5, 10, 20, 50}, and five random seeds for the main matrix, 10 for the real-only baselines and three for selected diagnostic experiments, with 95% confidence intervals, under a train-on-synthetic, test-on-real (TSTR) protocol. None of the generative pipelines exceeds the real-only baseline at any &lt;i&gt;k&lt;/i&gt; on Random Forest, and the same ordering replicates on a second, independently collected outdoor field dataset under episode-level splitting; a cross-operating-mode stress test within GPVS-Faults further shows that at few-shot scale every pipeline, real-only and generative alike, additionally depends on condition-consistent sampling. We attribute the generative failure to PV waveform complexity—50 Hz grid harmonics, submillisecond inverter switching transients, and slow insolation drift coexisting on a 13-channel × 512-sample window—which the generators answer with severe mode collapse (intraclass diversity at 1%–7% of real for the BCE-family models) and with fabricated high-frequency content (three to four orders of magnitude above ground truth in the inverter-side current band, inflating total harmonic distortion by more than an order of magnitude). A low-pass intervention shows that removing the fabricated high-frequency band alone does not restore TSTR performance; together with the diversity analyses, this is consistent with mode collapse being a major remaining limitation. Per-class analysis identifies one seed-robust, physically interpretable specialized win that may inform future hybrid designs. We recommend &lt;i&gt;k&lt;/i&gt;-shot TRTR as a strong, low-compute default for sample-scarce PV diagnostic settings and as a routine sanity baseline in future few-shot fault-synthesis studies. Every result reported here is obtained under the synthetic-only TSTR protocol; real-plus-synthetic augmentation, in which the &lt;i&gt;k&lt;/i&gt; real windows are retained alongside the synthetic ones, is a distinct question lyin","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7339771","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Trends in AI-Driven Energy Efficiency for Residential Buildings: A Comprehensive Bibliometric Review With a Latent Dirichlet Allocation Topic Modelling","authors":"Şeyma Atik,&nbsp;Kubra Doguc,&nbsp;Dilek Arslan,&nbsp;Selman Sevindik","doi":"10.1155/er/8515168","DOIUrl":"https://doi.org/10.1155/er/8515168","url":null,"abstract":"<p>Artificial Intelligence (AI) has rapidly reshaped residential building energy research; however, the field lacks a data-driven synthesis of its global structure and evolving themes. This study addresses this gap by combining bibliometric analysis with latent Dirichlet allocation (LDA) topic modelling to analyse 1368 articles (2020–2025) from Web of Science Core Collection (WoSCC) and Scopus. Results show a dramatic increase in publications within a global but uneven landscape: China and the United States (US) lead in volume, while Vietnam and Denmark produce the most influential outputs per paper. The United Kingdom (UK) maintains a balanced profile, and several EU member states, including Italy, Spain and Germany, rank among the leading contributors. Collaboration networks are primarily academic, with limited industry involvement. LDA identifies four main themes: energy performance modelling, HVAC optimisation, load forecasting and management and smart-home energy management. Within these, research centres on operational applications and shows a methodological progression from conventional machine learning (ML) toward hybrid deep learning (DL), including emerging transformer-based and graph-based models. The analysis scale is expanding from single-buildings to district-level and interconnected systems. The comprehensive review identifies a persistent gap in occupant-centric modelling and highlights the need for real-time data integration and improved transparency to deliver practical, human-responsive, and scalable energy efficiency solutions.</p>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2026 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8515168","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149146717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}