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Investigating Periodic Dependencies to Improve Short-Term Load Forecasting

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Energy Engineering 2024年第3期121卷 789-806页

作者： Jialin Yu Xiaodi zhang qi zhong Jian Feng State Grid Zhejiang Jiaxing Electric Power Co. Ltd.Jiaxing314000China State Grid Zhejiang Electric Power Co. Ltd.Hangzhou310000China

With a further increase in energy flexibility for customers,short-term load forecasting is essential to provide benchmarks for economic dispatch and real-time alerts in power *** electrical load series exhibit periodic patterns and share high associations with metrological ***,current studies have merely focused on point-wise models and failed to sufficiently investigate the periodic patterns of load series,which hinders the further improvement of short-term load forecasting ***,this paper improved Autoformer to extract the periodic patterns of load series and learn a representative feature from deep decomposition and *** addition,a novel multi-factor attention mechanism was proposed to handle multi-source metrological and numerical weather prediction data and thus correct the forecasted electrical *** paper also compared the proposed model with various competitive *** the experimental results reveal,the proposed model outperforms the benchmark models and maintains stability on various types of load consumers.

关键词： Load forecasting transformer attention mechanism power grid

Method for the multi-view estimation of fish mass using a two-stage neural network with edge-sensitive module

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 222-229页

作者： Zeyu Jiao Yingjie Cai qi zhang Zhenyu zhong Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhou 510070China Department of Electronic Engineering The Chinese University of Hong KongHong Kong 999077China College of Economics and Management Northwest A&F UniversityYangling 712100ShaanxiChina

The estimation of fish mass is one of the most basic and important tasks in *** the mass of fish at different growth stages is of great significance for feeding,monitoring the health status of fish,and making breeding plans to increase *** existing estimation methods for fish mass often stay in the 2D plane,and it is difficult to obtain the 3D information on fish,which will lead to the *** solve this problem,a multi-view method was proposed to obtain the 3D information of fish and predict the mass of fish through a two-stage neural network with an edge-sensitive *** the first stage,the side-and downward-view images of the fish and some 3D information,such as side area,top area,length,deflection angle,and pitch angle,were captured to estimate the size of the fish through two vertically placed *** the area of the fish at different views was estimated accurately through the pre-trained image segmentation neural network with an edgesensitive *** the second stage,a fully connected neural network was constructed to regress the fish mass based on the 3D information obtained in the previous *** experimental results indicate that the proposed method can accurately estimate the fish mass and outperform the existing estimation methods.

关键词： fish mass multi-view estimation two-stage neural network edge-sensitive module image segmentation

Collaborative robust dispatch of electricity and carbon under carbon allowance trading market

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Global Energy Interconnection 2024年第4期7卷 391-401页

作者： Songyu Wu Xiaoyan qi Xiang Li Xuanyu Liu Bolin Tong Feiyu zhang zhong zhang Electric Power Research Institute of State Grid Liaoning Electric Power Co. Shenyang 110006P.R.China School of Electrical Engineering Dalian University of TechnologyDalian 116024P.R.China

The launch of the carbon-allowance trading market has changed the cost structure of the power *** is an asynchronous coupling mechanism between the carbon-allowance-trading market and the day-ahead power-system *** this study,a data-driven model of the uncertainty in the annual carbon price was ***,a collaborative,robust dispatch model was constructed considering the annual uncertainty of the carbon price and the daily uncertainty of renewable-energy *** model is solved using the column-and-constraint generation *** operation and cost model of a carbon-capture power plant(CCPP)that couples the carbon market and the economic operation of the power system is also *** critical,profitable conditions for the economic operation of the CCPP were *** studies demonstrated that the proposed low-carbon,robust dispatch model reduced carbon emissions by 2.67%compared with the traditional,economic,dispatch *** total fuel cost of generation decreases with decreasing,conservative,carbon-price-uncertainty levels,while total carbon emissions continue to *** the carbon-quota coefficient decreases,the system dispatch tends to increase low-carbon unit *** study can provide important guidance for carbon-market design and the low-carbon-dispatch selection strategies.

关键词： Asynchronous coupling mechanism Collaborative robust optimization Carbon price uncertainty Carbon capture power plant Low carbon dispatch

Improved forecasting via physics-guided machine learning as exemplified using“21·7”extreme rainfall event in Henan

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Science China Earth Sciences 2024年第5期67卷 1652-1674页

作者： qi zhong Zhicha zhang Xiuping YAO Shaoyu HOU Shenming FU Yong CAO Linguo JING China Meteorological Administration Training Center Beijing 100081China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Zhejiang Meteorological Observatory Hangzhou 310017China Hebei Provincial Weather Modification Center Shijiazhuang 050020China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China National Meteorological Center Beijing 100081China School of Computer Science Chengdu University of Information TechnologyChengdu 610225China

As a natural disaster,extreme precipitation is among the most destructive and influential,but predicting its occurrence and evolution accurately is very challenging because of its rarity and *** the example of the“21·7”extreme precipitation event(17–21 July 2021)in Henan Province,this study explores the potential of using physics-guided machine learning to improve the accuracy of forecasting the intensity and location of extreme *** physics-guided ways of embedding physical features,fusing physical model forecasts and revised loss function are used,i.e.,(1)analyzing the anomalous circulation and thermodynamical factors,(2)analyzing the multi-model forecast bias and the associated underlying reasons for it,and(3)using professional forecasting knowledge to design the loss function,and the corresponding results are used as input for machine learning to improve the forecasting *** results indicate that by learning the relationship between anomalous physical features and heavy precipitation,the forecasting of precipitation intensity is improved significantly,but the location is rarely adjusted and more false alarms *** reasons for this are as *** anomalous features used here mainly contain information about large-scale systems and factors which are consistent with the model precipitation deviation;moreover,the samples of extreme precipitation are sparse and so the algorithm used here is ***,by combining“good and different”multi models with machine learning,the advantages of each model are extracted and then the location of the precipitation center in the forecast is improved ***,by combining the appropriate anomalous features with multi-model fusion,an integrated improvement of the forecast of the rainfall intensity and location is ***,this study is a novel exploration to improve the refined forecasting of heavy precipitation with extreme intensity and high variability,

关键词： Extreme precipitation event Refined assessment Anomalous physical features Multi-model fusion Machine learning

Geobacter sulfurreducens promoted the biosynthesis of reduced graphene oxide and coupled it for nitrobenzene reduction

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Journal of Environmental Sciences 2024年第4期138卷 458-469页

作者： Shoujuan zhang qi Liu Linrui zhong Jianhong Jiang Xiaozhe Luo Xingxin Hu qian Liu Yue Lu College of Environmental Science and Engineering Hunan UniversityChangsha 410082China Shenzhen Research Institute Hunan UniversityShenzhen 510082China Key Laboratory of Environment Biology and Pollution Control Hunan UniversityMinistry of EducationChangsha 410082China China Machinery International Engineering Design&Research Institute Co. LtdChangsha 410007China Hunan Engineering Research Center for Water Treatment Process&Equipment Changsha 410007China

In order to explore an efficient and green method to deal with nitrobenzene(NB)pollutant,reduced graphene oxide(r GO)as an electron shuttle was applied to enhance the extracellular electron transfer(EET)process of Geobacter sulfurreducens,which was a typical electrochemically active bacteria(EAB).In this study,r GO biosynthesis was achieved via the reduction of graphene oxide(GO)by *** PCA within 3 ***,the r GOPCA combining system completely reduced 50-200μmol/L of NB to aniline as end product within one *** characterization revealed that PCA cells were partly wrapped by rGO,and therefore the distance of electron transfer between strain PCA and r GO material was ***,the ID/IGof GO,r GO,and r GO-PCA combining system were 0.990,1.293 and 1.31,***,highest currents were observed in r GO-PCA-NB as 12.950μA/-12.560μA at -408 m V/156 m V,attributing to the faster electron transfer efficiency in EET ***,the NB reduction was mainly due to:(I)direct EET process from *** PCA to NB;(II)r GO served as electron shuttle and accelerated electron transfer to NB,which was the main degradation ***,the biosynthesis of r GO via GO reduction by Geobacter promoted the NB removal process,which provided a facile strategy to alleviate the problematic nitroaromatic pollution in the environment.

关键词： Reduced graphene oxide Geobacter Nitrobenzene Removal Extracellular electron transfer

Two ABCI family transporters,OsABCI15 and OsABCI16,are involved in grain-filling in rice

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Journal of Genetics and Genomics 2024年第5期51卷 492-506页

作者： Bin Ma Xiubiao Cao Xiaoyuan Li zhong Bian qi-qi zhang Zijun Fang Jiyun Liu Qun Li qiaoquan Liu Lin zhang Zuhua He Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/zhongshan Biological Breeding Laboratory/Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genetics and Physiology Agricultural College of Yangzhou UniversityYangzhouJiangsu 225009China Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops Jiangsu Key Laboratory of Crop Genetics and PhysiologyYangzhou UniversityYangzhouJiangsu 225009China National Key Laboratory of Plant Molecular Genetics CAS Center for Excellence in Molecular Plant SciencesInstitute of Plant Physiology&EcologyChinese Academy of SciencesShanghai 200032China Institute of Biotechnology Hangzhou Academy of Agricultural SciencesHangzhouZhejiang 310024China Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education Yangzhou UniversityYangzhouJiangsu 225009China

Seed development is critical for plant reproduction and crop yield,with panicle seed-setting rate,grain-filling,and grain weight being key seed characteristics for yield ***,few genes are known to regulate grain ***,we identify two adenosine triphosphate(ATP)-binding cassette(ABC)I-type transporter genes,OsABCI15 and OsABCI16,involved in rice *** genes are highly expressed in developing seeds,and their proteins are localized to the plasma membrane and ***,knockout of OsABCI15 and OsABCI16 results in a significant reduction in seed-setting rate,caused predominantly by the severe empty pericarp phenotype,which differs from the previously reported low seed-setting phenotype resulting from failed *** analysis indicates that OsABCI15 and OsABCI16 participate in ion homeostasis and likely export ions between filial tissues and maternal tissues during grain ***,overexpression of OsABCI15 and OsABCI16 enhances the seed-setting rate and grain yield in transgenic plants and decreases ion accumulation in brown ***,the OsABCI15/16 orthologues in maize exhibit a similar role in kernel development,as demonstrated by their disruption in transgenic ***,ourﬁndings reveal the important roles of two ABC transporters in cereal grain filling,highlighting their value in crop yield improvement.

关键词： ABC transporters Rice Grain filling Ion homeostasis Grain yield

Design and development of the beamline for a proton therapy system

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Nuclear Science and Techniques 2021年第12期32卷 53-63页

作者： Bin qin Xu Liu Qu-Shan Chen Dong Li Wen-Jie Han Ping Tan zhong-qi zhang Chong Zhou Ao-Te Chen Yi-Cheng Liao Wei Wang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina

A proton therapy(PT)facility with multiple treatment rooms based on the superconducting cyclotron scheme is under development at Huazhong University of Science and Technology(HUST).This paper attempts to describe the design considerations and implementation of the PT beamline from a systematic *** considerations covering beam optics and the influence of high-order aberrations,beam energy/intensity modulation,and beam orbit correction are *** addition to the technical implementation of the main beamline components and subsystems,including the energy degrader,fast kicker,beamline magnets,beam diagnostic system,and beamline control system are introduced.

关键词： Proton therapy Beamline Beam optics Beam energy/intensity modulation

Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

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International Journal of Extreme Manufacturing 2024年第3期6卷 175-214页

作者： Zijian Wang Yixian Song Guobin zhang qi Luo Kai Xu Dawei Gao Bin Yu Desmond Loke Shuai zhong Yishu zhang College of Integrated Circuits Zhejiang UniversityHangzhouZhejiang 3112000People’s Republic of China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 310027People’s Republic of China Department of Science Mathematics and TechnologySingapore University of Technology and DesignSingapore 487372Singapore Guangdong Institute of Intelligence Science and Technology HengqinZhuhai 519031People’s Republic of China

Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial *** the field of embedded memory continues to evolve,innovative strategies are emerging to enhance *** them,resistive random access memory(RRAM)has gained significant attention due to its numerousadvantages over traditional memory devices,including high speed(<1 ns),high density(4 F^(2)·n^(-1)),high scalability(~nm),and low power consumption(~pJ).This review focuses on the recent progress of embedded RRAM in industrial manufacturing and its *** provides a brief introduction to the concepts and advantages of RRAM,discusses the key factors that impact its industrial manufacturing,and presents the commercial progress driven by cutting-edge nanotechnology,which has been pursued by manysemiconductor ***,it highlights the adoption of embedded RRAM in emerging applications within the realm of the Internet of Things and future intelligent computing,with a particular emphasis on its role in neuromorphic ***,the review discusses thecurrent challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

关键词： embedded resistive random access memory industrial manufacturing intelligent computing advanced process node

Recent advances in multifunctional shape memory photonic crystals and practical applications

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Nano Research 2024年第1期17卷 79-96页

作者： Yong qi Shufen zhang State Key Laboratory of Fine Chemicals Frontier Science Center for Smart MaterialsDalian University of TechnologyDalian 116024China

Shape memory photonic crystals(SMPCs)are smart composite materials with changeable structural color integrated by shape memory polymer and photonic *** can produce one or more temporary shapes through nanoscale deformation,memorizing current *** can be recovered to their original shapes or some intermediate states under external stimuli,accompanied by the variation of structural *** porous carriers with built-in sensing properties,SMPCs promoted the interdisciplinary development of nanophotonic technology in materials science,environmental engineering,biomedicine,chemical engineering,and ***,the recent progress on multifunctional SMPCs and practical applications,including traditional and cold programmable SMPCs,is summarized and *** primary concern is shape programming at the nanoscale that has demonstrated numerous attractive functions,including smart sensing,ink-free printing,solvent detection,reprogrammable gradient wetting,and controllable bubble transportation,under variations of the surface *** aims to figure out the nanoscale shape memory effects on structural color conversion and additional performance,inspiring the fabrication of the next generation of ***,perspectives on future research directions and applications are also *** is believed that multifunctional SMPCs are powerful nanophotonic tools for the interdisciplinary development of numerous disciplines in the future.

关键词： photonic crystal shape memory structural color cold programmable shape recovery