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An explainable AI framework for robust and transparent data-driven wind turbine power curve models

Energy and AI 2024年第1期15卷 312-327页

作者： Simon Letzgus Klaus-Robert Müller Machine Learning Group Technische Universitβe BerlinStraβe des 17.Juni 135Berlin10623Germany Berlin Institute for the Foundations of Learning and Data Berlin10587Germany Department of Artificial Intelligence Korea UniversitySeoul136-713South Korea Max Planck Institute for Informatics Saarbrücken66123Germany

In recent years,increasingly complex machine learning methods have become state-of-the-art in modelling wind turbine power curves based on operational *** these methods often exhibit superior performance on test sets,they face criticism due to a perceived lack of transparency and concerns about their robustness in dynamic,non-stationary environments encountered by wind *** this work,we address these issues and present a framework that leverages explainable artificial intelligence methods to gain systematic insights into data-driven power curve *** its core,we propose a metric to quantify how well a learned model strategy aligns with the underlying physical principles of the *** novel tool enables model validation beyond the conventional error metrics in an automated *** demonstrate,for instance,its capacity as an indicator for model generalization even when limited data is ***,it facilitates understanding how decisions made during the machine learning development process,such as data selection,pre-processing,or training parameters,affect learned *** a result,we obtain physically more reasonable models,a prerequisite not only for robustness but also for meaningful insights into turbine operation by domain *** latter,we illustrate in the context of wind turbine performance *** summary,the framework aims to guide researchers and practitioners alike toward a more informed selection and utilization of data-driven wind turbine power curve models.

关键词： Explainable AI(XAI) Machine learning Wind energy Wind turbine power curve SCADA Condition monitoring

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Wear dependent virtual flow rate sensor for progressing cavity pumps with deformable stator

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Petroleum Science 2024年第2期21卷 1346-1353页

作者： Jens Müller Sebastian Leonow Johannes Schulz Christian Hansen Martin Monnigmann Ruhr-Universitat Bochum Universit atsstraûe 150Bochum44801Germany SEEPEX GmbH Scharnh olzstraûe 344Bottrop46240Germany

This contribution presents a novel wear dependent virtual flow rate sensor for single stage single lobe progressing cavity pumps. We study the wear-induced material loss of the pump components and the impact of this material loss on the volumetric efficiency. The results are combined with an established backflow model to implement a backflow calculation procedure that is adaptive to wear. We use a laboratory test setup with a highly abrasive fluid and operate a pump from new to worn condition to validate our approach. The obtained measurement data show that the presented virtual sensor is capable of calculating the flow rate of a pump being subject to wear during its regular operation.

关键词： Backflow Progressing cavity pump Virtual sensor Wear

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Analyzing voting power in decentralized governance:Who controls DAOs?

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Blockchain(Research and Applications) 2024年第3期5卷 123-129页

作者： Robin Fritsch Marino Müller Roger Wattenhofer ETH Zurich 8092ZurichSwitzerland

We empirically study the state of three prominent DAO governance systems on the Ethereum blockchain:Compound,Uniswap and Ethereum name service(ENS).In particular,we examine how the voting power is distributed in these *** a comprehensive dataset of all governance token holders,delegates,propos-als,and votes,we analyze who holds the voting power and how this power is being used to influence governance *** we reveal that the majority of voting power is concentrated in the hands of a small number of addresses,we rarely observe these powerful entities overturning a vote by choosing a different outcome than that of the overall community and less influential voters.

关键词： Decentralized autonomous organization DAO governance Liquid democracy Blockchain

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CO_(2)capture costs of chemical looping combustion of biomass:A comparison of natural and synthetic oxygen carrier

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Journal of Energy Chemistry 2024年第5期92卷 296-310页

作者： Benjamin Fleiß Juraj Priscak Martin Hammerschmid Josef Fuchs Stefan Müller Hermann Hofbauer Institute of Chemical Environmental and Bioscience EngineeringTU WienVienna1060 ViennaAustria BEST–Bioenergy and Sustainable Technologies GmbH Graz8010 StyriaAustria

Chemical looping combustion has the potential to be an efficient and low-cost technology capable of contributing to the reduction of the atmospheric concentration of CO_(2) in order to reach the 1.5/2°C goal and mitigate climate *** this process,a metal oxide is used as oxygen carrier in a dual fluidized bed to generate clean CO_(2) via combustion of *** commonly,natural ores or synthetic materials are used as oxygen carrier whereas both must meet special requirements for the conversion of solid *** oxygen carriers are characterized by higher reactivity at the expense of higher costs versus the lower-cost natural *** determine the viability of both possibilities,a techno-economic comparison of a synthetic material based on manganese,iron,and copper to the natural ore ilmenite was *** synthetic oxygen carrier was characterized and tested in a pilot plant,where high combustion efficiencies up to 98.4%and carbon capture rates up to 98.5%were *** techno-economic assessment resulted in CO_(2) capture costs of 75 and 40€/tCO_(2) for the synthetic and natural ore route respectively,whereas a sensitivity analysis showed the high impact of production costs and attrition rates of the synthetic *** synthetic oxygen carrier could break even with the natural ore in case of lower production costs and attrition rates,which could be reached by adapting the production process and recycling *** comparison to state-of-the-art technologies,it is demonstrated that both routes are viable and the capture cost of CO_(2) could be reduced by implementing the chemical looping combustion technology.

关键词： Chemical looping combustion BECCS Techno-economic assessment CO_(2)capture costs Oxygen carrier development Synthetic materials Ilmenite

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Identifying the validity domain of machine learning models in building energy systems

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Energy and AI 2024年第1期15卷 328-341页

作者： Martin Rätz Patrick Henkel Phillip Stoffel Rita Streblow Dirk Müller RWTH Aachen University E.ON Energy Research CenterInstitute for Energy Efficient Buildings and Indoor ClimateMathieustraβe 10Aachen52074Germany

The building sector significantly contributes to climate *** improve its carbon footprint,applications like model predictive control and predictive maintenance rely on system ***,the high modeling effort hinders practical *** learning models can significantly reduce this modeling *** ensure a machine learning model’s reliability in all operating states,it is essential to know its validity *** states outside the validity domain might lead to extrapolation,resulting in unpredictable *** paper addresses the challenge of identifying extrapolation in data-driven building energy system models and aims to raise knowledge about *** that,a novel approach is proposed that calibrates novelty detection algorithms towards the machine learning *** novelty detection algorithms are identified through a literature review and a benchmark test with 15 candidates.A subset of five algorithms is then evaluated on building energy ***,on two-dimensional data,displaying the results with a novel visualization *** on more complex multi-dimensional use *** methodology performs well,and the validity domain could be *** visualization allows for a profound analysis and an improved understanding of the fundamental effects behind a machine learning model’s validity domain and the extrapolation regimes.

关键词： Extrapolation detection Validity domain Novelty detection Machine learning Artificial neural network Data-driven model predictive control Building energy systems

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Alexa,let's train now!——A systematic review and classification approach to digital and home-based physical training interventions aiming to support healthy cognitive aging

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Journal of Sport and Health Science 2024年第1期13卷 30-46页

作者： Fabian Herold Paula Theobald Thomas Gronwald Navin Kaushal Liye Zou Eling D.de Bruin Louis Bherer Notger GMüller Research Group Degenerative and Chronic Diseases MovementFaculty of Health Sciences BrandenburgUniversity of PotsdamPotsdam 14476Germany Body-Brain-Mind Laboratory Shenzhen UniversityShenzhen 518060China Institute of Interdisciplinary Exercise Science and Sports Medicine MSH Medical School HamburgHamburg 20457Germany Department of Health Sciences School of Health&Human SciencesIndiana UniversityIndianapolisIN 46202USA Department of Health Sciences and Technology Institute of Human Movement Sciences and SportETH ZurichZurich 8093Switzerland Department of Neurobiology Care Sciencesand SocietyKarolinska InstituteStockholm 17177Sweden Department of Health OST-Eastern Swiss University of Applied SciencesSt.Gallen 9001Switzerland Montreal Heart Institute MontrealQC H1T 1C8Canada Department of Medicine Universite de MontrealMontrealQC H3T 1J4Canada Centre de Recherche de l'Institut Universitaire de Geriatrie de Montreal MontrealQC H3W 1W5Canada

Background:There is mounting evidence that regular physical activity is an important prerequisite for healthy cognitive ***,the finding that almost one-third of the adult population does not reach the recommended level of regular physical activity calls for further public health *** this context,digital and home-based physical training interventions might be a promising alternative to center-based intervention ***,this systematic review aimed to summarize the current state of the literature on the effects of digital and home-based physical training interventions on adult cognitive ***:In this pre-registered systematic review(PROSPERO;ID:CRD42022320031),5 electronic databases(PubMed,Web of Science,Psyclnfo,SPORTDiscus,and Cochrane Library)were searched by 2 independent researchers(FH and PT)to identify eligible studies investigating the effects of digital and home-based physical training interventions on cognitive performance in *** systematic literature search yielded 8258 records(extra17 records from other sources),of which 27 controlled trials were considered *** reviewers(FH and PT)independently extracted data and assessed the risk of bias using a modified version of the Tool for the assEssment of Study qualiTy and reporting in EXercise(TESTEX scale).Results:Of the 27 reviewed studies,15 reported positive effects on cognitive and motor-cognitive outcomes(i.e.,performance improvements in measures of executive functions,working memory,and choice stepping reaction test),and a considerable heterogeneity concerning study-related,population-related,and intervention-related characteristics was noticed.A more detailed analysis suggests that,in particular,interventions using online classes and technology-based exercise devices(i.e.,step-based exergames)can improve cognitive performance in healthy older *** one-half of the reviewed studies were rated as having a high risk of bias with respect

关键词： Brain Cognition Digital health Exercise-cognition Physical activity

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High-Performance and Large-Area Inverted Perovskite Solar Cells Based on NiO_(x) Films Enabled with A Novel Microstructure-Control Technology

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Energy & Environmental Materials 2024年第1期7卷 153-159页

作者： Guibin Shen Xin Li Yuqin Zou Hongye Dong Dongping Zhu Yanglin Jiang Xin Ren Ng Fen Lin Peter Müller-Buschbaum Cheng Mu Key Laboratory of Advanced Light Conversion Materials and Biophotonics Department of ChemistryRenmin University of ChinaBeijing 100872China Solar Energy Research Institute of Singapore(SERIS) National University of SingaporeSingapore 117574Singapore Physik-Department Lehrstuhl für Funktionelle MaterialienTechnische Universität MünchenJames-Franck-Straße 185748Garching Germany Heinz Maier-Leibnitz Zentrum(MLZ) Technische Universität MünchenLichtenbergstr.185748Garching Germany

The improvement in the efficiency of inverted perovskite solar cells(PSCs)is significantly limited by undesirable contact at the NiO_(x)/perovskite *** this study,a novel microstructure-control technology is proposed for fabrication of porous NiO_(x)films using Pluronic P123 as the structure-directing agent and acetylacetone(AcAc)as the coordination *** synthesized porous NiO_(x)films enhanced the hole extraction efficiency and reduced recombination defects at the NiO_(x)/perovskite ***,without any modification,the power conversion efficiency(PCE)of the PSC with MAPbl_(3)as the absorber layer improved from 16.50%to 19.08%.Moreover,the PCE of the device composed of perovskite Cs0.05(MA_(0.15)FA_(0.85))_(0.95)Pb(I_(0.85)Br_(0.15))_(3)improved from 17.49%to 21.42%.Furthermore,the application of the fabricated porous NiO_(x)on fluorine-doped tin oxide(FTO)substrates enabled the fabrication of large-area PSCs(1.2 cm^(2))with a PCE of 19.63%.This study provides a novel strategy for improving the contact at the NiO_(x)/perovskite interface for the fabrication of high-performance large-area perovskite solar cells.

关键词： interfacial contact inverted and large-area perovskite solar cells photovoltaic materials porous NiO_(x)films renewable energy

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Expect the unexpected:Brown tumor of the mandible as the first manifestation of primary hyperparathyroidism

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World Journal of Clinical Cases 2024年第7期12卷 1200-1204页

作者： Ana Majic Tengg Maja Cigrovski Berkovic Ivan Zajc Ivan Salaric Danko Müller Iva Markota Department of Endocrinology DiabetesMetabolic Diseases and Clinical PharmacologyClinical Hospital DubravaZagreb 10000Croatia Department for Sport and Exercise Medicine Faculty of Kinesiology University of ZagrebZagreb 10000Croatia Department of Oral Surgery Clinical Hospital DubravaZagreb 10000Croatia University of Zagreb School of Dental Medicine Zagreb 10000Croatia Clinical Department of Pathology and Cytology Clinical Hospital DubravaZagreb 10000Croatia

Hyperparathyroidism(HPT)is a condition in which one or more parathyroid glands produce increased levels of parathyroid hormone(PTH),causing disturbances in calcium *** commonly HPT presents with asymptomatic hypercalcemia but the clinical spectrum may include disturbances reflecting the combined effects of increased PTH secretion and *** tumors are rare,benign,tumor-like bone lesions,occurring in 1.5%to 4.5%of patients with HPT,as a complication of an uncontrolled disease pathway,and are nowadays rarely seen in clinical *** tumor can appear either as a solitary or multifocal lesion and usually presents as an asymptomatic swelling or a painful exophytic ***,it can cause a pathological fracture or skeletal pain and be radiologically described as a lytic bone *** diagnosis of a brown tumor in HPT is typically confirmed by assessing the levels of serum calcium,phosphorus,and *** when present,brown tumor is quite pathognomonic for HPT,the histologic finding often suggests a giant cell tumor,while clinical presentation might suggest other more frequent pathologies such as metastatic *** of brown tumors frequently focuses on managing the underlying HPT,which can often lead to regression and resolution of the lesion,without the need for surgical ***,in refractory cases or when dealing with large symptomatic lesions,surgical treatment may be necessary.

关键词： Brown tumor Hyperparathyroidism Lytic bone lesions Giant cell tumor

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Dynamic control of district heating networks with integrated emission modelling:A dynamic knowledge graph approach

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Energy and AI 2024年第3期17卷 29-47页

作者： Markus Hofmeister Kok Foong Lee Yi-Kai Tsai Magnus Müller Karthik Nagarajan Sebastian Mosbach Jethro Akroyd Markus Kraft Department of Chemical Engineering and Biotechnology University of CambridgePhilippa Fawcett DriveCambridgeCB30ASUnited Kingdom Cambridge Centre for Advanced Research and Education in Singapore CARES Ltd.1 Create WayCREATE Tower#05-05138602Singapore CMCL Innovations Sheraton HouseCambridgeCB30AXUnited Kingdom The Alan Turing Institute 96 Euston RoadLondonNW12DBUnited Kingdom

This paper presents a knowledge graph-based approach for the dynamic control of a district heating network with integrated emission dispersion modelling. We propose an interoperable and extensible implementation to forecast the anticipated heat demand of a municipal heating network, minimise associated total generation cost based on a previously devised methodology, and couple it with dispersion simulations for induced airborne pollutants to provide automatic insights into air quality implications of various heat sourcing strategies. We create cross-domain interoperability in the nexus of energy and air quality via newly developed ontologies and semantic software agents, which can be chained together via The World Avatar dynamic knowledge graph to resemble the behaviour of complex systems. Furthermore, we integrate the City Energy Analyst into this ecosystem to provide building-level insights into energy demand and renewable generation potential to foster strategic analyses and scenario planning. Underlying calculations use building and weather data from the knowledge graph in place of inherent assumptions in the official software release, facilitating a more data-driven approach. All use cases are implemented for a mid-size town in Germany as a proof-of-concept, and a unified visualisation interface is provided, allowing for the examination of 3D buildings alongside their corresponding energy demand and supply time series, as well as emission dispersion data. With this work, we outline the potential of Semantic Web technologies to connect digital twins for holistic energy modelling in smart cities, thereby addressing the increasing complexity of interconnected energy systems.

关键词： Knowledge graph Digital twin Inter operability Energy modelling Emi ssion dispersi on

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Going only half the way:cell cycle exit after the G1 restriction point

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Signal Transduction and Targeted Therapy 2024年第1期9卷 1-2页

作者： Lisa Muller Tony Gutschner Mechthild Hatzfeld Department of Pathobiochemistry Institute of Molecular MedicineMartin Luther University Halle-WittenbergCharles Tanford Protein Research CenterHalleGermany Department of RNA Biology and Pathogenesis Institute of Molecular MedicineMartin Luther University Halle-WittenbergCharles Tanford Protein Research CenterHalleGermany

In a recent article published in Nature,James *** et *** that cyclin A2 levels determine whether cells will make an entrance into mitosis or whether cells will leave the cell cycle after having passed the G1/restriction(R)-point implicating that the decision is fully reversible(Fig.1).This ground-breaking study could impact future approaches for cancer treatment by targeting the mitotic clock.

关键词： point cycle

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