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An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs

Science China(Life Sciences) 2024年第6期67卷 1133-1154页

作者： Yang Zhang Mengyao wang Zhenguo Li Xuan Yang Keqin Li Ao Xie Fang Dong Shihan wang Jianbing Yan jianxiao Liu National Key Laboratory of Crop Genetic Improvement Huazhong Agricultural UniversityWuhan 430070China Key Laboratory of Smart Farming for Agricultural Animals Huazhong Agricultural UniversityWuhan 430070China Hubei Key Laboratory of Agricultural Bioinformatics Huazhong Agricultural UniversityWuhan 430070China College of Informatics Huazhong Agricultural UniversityWuhan 430070China College of Life Sciences Nankai UniversityTianjin 300071China

Detecting genes that affect specific traits(such as human diseases and crop yields)is important for treating complex diseases and improving crop quality.A genome-wide association study(GWAS)provides new insights and directions for understanding complex traits by identifying important single nucleotide *** GWAS summary statistics data related to various complex traits have been gathered *** have shown that GWAS risk loci and expression quantitative trait loci(e QTLs)often have a lot of overlaps,which makes gene expression gradually become an important intermediary to reveal the regulatory role of *** this review,we review three types of gene-trait association detection methods of integrating GWAS summary statistics and e QTLs data,namely colocalization methods,transcriptome-wide association study-oriented approaches,and Mendelian randomization-related *** the theoretical level,we discussed the differences,relationships,advantages,and disadvantages of various algorithms in the three kinds of gene-trait association detection *** further discuss the performance of various methods,we summarize the significant gene sets that influence highdensity lipoprotein,low-density lipoprotein,total cholesterol,and triglyceride reported in 16 *** discuss the performance of various algorithms using the datasets of the four lipid *** advantages and limitations of various algorithms are analyzed based on experimental results,and we suggest directions for follow-up studies on detecting gene-trait associations.

关键词： gene-trait association GWAS eQTL colocalization transcriptome-wide association study(TWAS) Mendelian randomization(MR)

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Generation-expansion planning with linearized primary frequency response constraints

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Global Energy Interconnection 2020年第4期3卷 346-354页

作者： Zihan wang jianxiao wang Gengyin Li Ming Zhou School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206P.R.China

As renewable energy resources increasingly penetrate the electric grid,the inertia capability of power systems has become a developmental ***,the importance of primary frequency response(PFR)when making generation-expansion plans has been largely *** this paper,we propose an optimal generation-expansion planning framework for wind and thermal power plants that takes PFR into *** model is based on the frequency equivalent *** includes investment,startup/shutdown,and typical operating costs for both thermal and renewable *** linearization constraints of PFR are derived *** studies based on the modified IEEE 39-bus system demonstrate the efficiency and effectiveness of the proposed *** with methods that ignore PFR,the method proposed in this paper can effectively reduce the cost of the entire planning and operation cycle,improving the accommodation rate of renewable energy.

关键词： Frequency equivalent model Generation expansion planning Inertia Primary frequency response

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Palladium-catalyzed vinylation of indoles with vinyl ethers via deoxygenative coupling

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Science China Chemistry 2024年

作者： Bowen wang jianxiao Li Wanqing Wu Liangbin Huang Huanfeng Jiang Key Laboratory of Functional Molecular Engineering of Guangdong Province School of Chemistry and Chemical EngineeringSouth China University of Technology

Indole is a promising heteroarene in many natural products and pharmaceuticals; therefore, various synthetic methods for indole functionalizations have arisen in recent years. Herein, we report a Pd-catalyzed deoxygenative coupling for the N-vinylation of indoles by employing vinyl ethers. The vinylated indoles could be readily prepared in good to excellent yields with N1-regioselectivity regardless of the electronic characteristics and substitution patterns of indole substrates. Some indole-based pharmaceutical molecules, such as gramine, evodiamine, rutaecarpine, and melatonine, are also successfully vinylated. Moreover, carbazoles and indazoles are shown to participate. Additionally, vinylated indole can readily transform into structurally interesting indole derivatives.

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Evaluating the reliability of distributed photovoltaic energy system and storage against household blackout

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Global Energy Interconnection 2021年第1期4卷 18-27页

作者： Yimeng Sun Jie Gao jianxiao wang Ziyang Huang Gengyin Li Ming Zhou School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206P.R.China Automotive Technology and Research Center Co.Ltd TianjinP.R.China

Distributed energy resources have been proven to be an effective and promising solution to enhance power system resilience and improve household-level *** this paper,we propose a method to evaluate the reliability value of a photovoltaic(PV)energy system with a battery storage system(BSS)by considering the probability of grid outages causing household *** this reliability value,which is the economic profit and capital cost of PV+BSS,a simple formula is derived to calculate the optimal planning *** strategy can provide household-level customers with a simple and straightforward expression for invested PV+BSS *** studies on 600 households located in eight zones of the US for the period of 2006 to 2015 demonstrate that adding the reliability value to economic profit allows households to invest in a larger PV+BSS and avoid loss of load caused by *** to the differences in blackout hours,households from the 8 zones express distinct willingness to install PV+*** greater the probability of blackout,the greater revenue that household can get from the PV+*** simulation example shows that the planning strategy obtained by proposed model has good economy in the actual operation and able to reduce the economic risk of power failure of the household *** model can provide household with an easy and straightforward investment strategy of PV+BSS capacity.

关键词： Battery storage Distributed generation planning Household blackout Reliability value Realistic dataset

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Graphdiyne oxide-accelerated charge carrier transfer and separation at the interface for efficient binary organic solar cells

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Science China Materials 2022年第10期65卷 2647-2656页

作者： Le Liu Yuanyuan Kan Guangliu Ran Min Zhao Zhiyu Jia Siqi Chen jianxiao wang Hao Chen Chengjie Zhao Ke Gao Wenkai Zhang Tonggang Jiu Science Center for Material Creation and Energy Conversion Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237China Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of SciencesQingdao 266101China Department of Physics and Applied Optics Beijing Area Major Laboratory Center for Advanced Quantum StudiesBeijing Normal UniversityBeijing 100875China MOE Key Laboratory of Cluster Science Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China

Interfacial engineering for the regulation of the charge carrier dynamics in solar cells is a critical factor in the fabrication of high-efficiency *** on the successful preparation of highly dispersible graphdiyne oxide(GDYO)with a large number of functional groups,we fabricated organic solar cells employing GDYO-modified poly(3,4-ethylenedioxythiophene)/poly(styrene sulfonate)(PEDOT:PSS)as hole transport *** show that theπ±πinteraction between GDYO and PEDOT:PSS is beneficial to the formation of an optimized charge carrier transfer channel and improves the conductivity and charge carrier mobility in the hole transport ***,the improved interfacial contact contributes to the suppression of charge carrier recombination and the elevation of charge carrier extraction between the hole transport layer and the active *** importantly,the occurrence of charge carrier separation benefits from the optimized morphology of the active layer,which efficiently improves the performance,as proven by the results of transient absorption ***,with the holistic management approach to the multiobjective optimization of the charge carrier dynamics,a photoelectric conversion efficiency of 17.5%(with the certified value of 17.2%)is obtained for binary organic solar *** of these results indicate the potential application of the functionalized graphdiyne in the field of organic optoelectronic devices.

关键词： graphdiyne oxide hole transport layer charge carrier dynamics PEDOT:PSS organic solar cells

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Constructing a V2G-enabled Regional Energy Internet for Cost-efficient Carbon Trading

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CSEE Journal of Power and Energy Systems 2020年第1期6卷 31-40页

作者： jianxiao wang Zhaoyuan Wu Ershun Du Ming Zhou Gengyin Li Yining Zhang Le Yu School of Electrical and Electronic En-gineering North China Electric Power UniversityBeijing 102206China State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Zhidao Hechuang Tech Co.Ltd. Beijing 100101China

The increasing penetration of plug-in electric ve- hicles (PEVs) has highlighted the importance of coordinating ubiquitous distributed energy resources (DERs) via the internet of things (IoT).With the help of vehicle-to-grid (V2G) technology, PEVs can be aggregated to behave as a storage system, yielding both economic and environmental benefits. In this paper, we propose an optimal bidding framework for a V2G-enabled re- gional energy internet (REI) to participate in day-ahead markets considering carbon trading. The REI operator aims to maximize the net profits from day-ahead markets while anticipating real- time adjustments. A detailed battery model is developed to depict the charging and discharging capability of V2G-enabled PEVs. A two-stage stochastic optimization model is formulated to schedule the operation of PEV fleets against various sources of uncertainties, e.g., the arrival and departure time of PEVs, solar power and real-time prices. Case studies undertaken based on realistic datasets demonstrate that the coordination of the V2G- enabled PEVs and other DERs can facilitate the accommodation of renewable energy, thus improving the REI’s revenues in energy and carbon markets.

关键词： Carbon trading internet of things market bidding regional energy internet vehicle-to-grid

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Incentive mechanism for sharing distributed energy resources

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Journal of Modern Power Systems and Clean Energy 2019年第4期7卷 837-850页

作者： jianxiao wang Haiwang ZHONG Junjie QIN Wenyuan TANG Ram RAJAGOPAL Qing XIA Chongqing KANG Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720-1776USA Department of Electrical and Computer Engineering North Carolina State UniversityRaleighNC 27695USA Department of Civil and Environmental Engineering Stanford UniversityStanfordCA 94305USA

To improve the controllability and utilization of distributed energy resources(DERs),distribution-level electricity markets based on consumers’bidding and offers have been ***,the transaction costs will dramatically increase with the rapid development of ***,in this paper,we develop an energy sharing scheme that allows users to share DERs with neighbors,and design a novel incentive mechanism for benefit allocation without users’bidding on electricity *** the energy sharing scheme,an aggregator organizes a number of electricity users,and trades with the connected power *** aggregator is aimed at minimizing the total costs by matching the surplus energy from DERs and electrical loads.A novel index,termed as sharing contribution rate(SCR),is presented to evaluate different users’contributions to the energy ***,based on users’SCRs,an efficient benefit allocation mechanism is implemented to determine the aggregator’s payment to users that incentivize their participation in energy *** avoid users’bidding,we propose a decentralized framework for the energy sharing and incentive *** studies based on real-world datasets demonstrate that the aggregator and users can benefit from the energy sharing scheme,and the incentive mechanism allocates the benefits according to users’contributions.

关键词： Distributed energy resource(DER) Energy sharing Incentive mechanism Nash bargaining

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Insulating materials for realising carbon neutrality:Opportunities,remaining issues and challenges

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High Voltage 2022年第4期7卷 610-632页

作者： Chuanyang Li Yang Yang Guoqiang Xu Yao Zhou Mengshuo Jia Shaolong Zhong Yu Gao Chanyeop Park Qiang Liu Yalin wang Shakeel Akram Xiaoliang Zeng Yi Li Fangwei Liang Bin Cui Junpeng Fang Lingling Tang Yulin Zeng Xingtao Hu Jiachen Gao Giovanni Mazzanti Jinliang He jianxiao wang Davide Fabiani Gilbert Teyssedre Yang Cao Feipeng wang Yunlong Zi The State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijingChina Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongChina Simpson Querrey Institute Northwestern UniversityEvanstonIllinoisUSA Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA Department of Information Technology and Electrical Engineering ETH ZürichZürichSwitzerland School of Electrical and Information Engineering Tianjin UniversityTianjinChina Department of Electrical and Computer Engineering Mississippi State UniversityMississippi StateMississippiUSA Electrical and Electronic Engineering The University of ManchesterManchesterUK Department of Electrical Engineering School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina Key Laboratory of Control of Power Transmission and Conversion(SJTU) Ministry of EducationShanghaiChina College of Electrical Engineering Sichuan UniversityChengduChina Shenzhen Institute of Advanced Technology Chinese Academy of Sciences ShenzhenShenzhenChina School of Electrical Engineering Wuhan UniversityWuhanChina School of Integrated Circuits Tsinghua UniversityBeijingChina Jiangsu Jinxin Electric Appliance Co.Ltd. YangzhouChina Tai'an Tiancheng Safety Evaluation Co. Ltd.Tai'anChina Department Electrical Electronic and Information EngineeringUniversity of BolognaBolognaItaly National Engineering Laboratory for Big Data Analysis and Applications Peking UniversityBeijingChina Laplace Paul Sabatier Universityand CNRSToulouseFrance Electrical and Computer Engineering University of ConnecticutStorrsConnecticutUSA State Key Laboratory of Power Transmission Equipment&System Security and New Technology School of Electrical EngineeringChongqing UniversityChongqingChina Thrust of Sustainable Energy and Environment The Hong Kong University of Science and Technology(Guangzhou)GuangzhouChina De

The 2050 carbon-neutral vision spawns a novel energy structure revolution,and the construction of the future energy structure is based on equipment *** material,as the core of electrical power equipment and electrified transportation asset,faces unprecedented challenges and *** goal of carbon neutral and the urgent need for innovation in electric power equipment and electrification assets are first *** engineering challenges constrained by the insulation system in future electric power equipment/devices and electrified transportation assets are *** materials,including intelligent insulating material,high thermal conductivity insulating material,high energy storage density insulating material,extreme environment resistant insulating material,and environmental-friendly insulating material,are cat-egorised with their scientific issues,opportunities and challenges under the goal of carbon neutrality being *** the context of carbon neutrality,not only improves the understanding of the insulation problems from a macro level,that is,electrical power equipment and electrified transportation asset,but also offers opportunities,remaining issues and challenges from the insulating material *** is hoped that this paper en-visions the challenges regarding design and reliability of insulations in electrical equipment and electric vehicles in the context of policies towards carbon neutrality *** authors also hope that this paper can be helpful in future development and research of novel insulating materials,which promote the realisation of the carbon-neutral vision.

关键词： neutral insulation extreme

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计及监测与控制功能的电力信息物理系统关键输电线路辨识方法

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中国电机工程学报 2022年第7期42卷 2556-2565页

作者：遆宝中李庚银王剑晓周明新能源电力系统国家重点实验室(华北电力大学) 北京市昌平区102206

先进信息通信技术提升了电力系统可观可控性,同时也加剧了故障的跨空间传播风险。针对这一问题,该文提出一种考虑信息系统监测和控制功能与电力系统耦合作用的关键输电线路辨识方法。根据信息网与电力网之间的多重耦合关系,分别以断路... 详细信息

先进信息通信技术提升了电力系统可观可控性,同时也加剧了故障的跨空间传播风险。针对这一问题,该文提出一种考虑信息系统监测和控制功能与电力系统耦合作用的关键输电线路辨识方法。根据信息网与电力网之间的多重耦合关系,分别以断路器和发电机作为信息–物理交互作用点,建立监测功能模型和控制功能模型,分析其失效对电力网连锁故障传播的影响,在此基础上,建立基于攻防博弈双层优化模型的关键线路辨识方法。上层模型以负荷损失最大为目标制定线路攻击策略,下层模型以负荷削减量最小为目标制定发电机出力方案。采用Karush-Kuhn-Tucker (KKT)条件将其转化为单层混合整数线性规划模型求解。仿真结果表明,信息网对电力网的依赖程度是影响事故规模的重要因素,所提方法能够综合考虑供能和监控等耦合关系以及信息系统的运行特点,通过模拟故障传播过程中系统的响应能力,提高了辨识结果的精确性。

关键词：电力信息物理系统监测功能控制功能信息流量模型攻防博弈双层优化模型

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基于MMoE多任务学习和长短时记忆网络的综合能源系统负荷预测

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电力自动化设备 2022年第7期42卷 33-39页

作者：吴晨姚菁薛贵元王剑晓吴垠何凯国网江苏省电力有限公司经济技术研究院江苏南京210008 北京清能互联科技有限公司北京100080 华北电力大学新能源电力系统国家重点实验室北京102206

精确的多元负荷预测是实现综合能源系统优化调度与经济运行的关键技术。在考虑多元负荷相关性的基础上,提出一种基于MMoE多任务学习和长短时记忆网络(LSTM)的多元负荷预测方法。利用皮尔逊相关系数分析冷热电负荷及气象因素存在的强相... 详细信息

精确的多元负荷预测是实现综合能源系统优化调度与经济运行的关键技术。在考虑多元负荷相关性的基础上,提出一种基于MMoE多任务学习和长短时记忆网络(LSTM)的多元负荷预测方法。利用皮尔逊相关系数分析冷热电负荷及气象因素存在的强相关性和弱相关性;构建MMoE多任务学习模型,利用专家子网和门控单元学习多元负荷间耦合特性的差异;使用LSTM构建子任务模型,对多元负荷进行预测。利用公开数据集进行性能验证,结果表明所提基于MMoE多任务学习和LSTM的模型能够有效提升多元负荷预测精度。

关键词：多元负荷预测综合能源系统相关性分析 MMoE多任务学习长短时记忆网络专家网络

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