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Interdecadal shift in North Indian Ocean-South China Sea influence on the evolution of the East Asian summer monsoon from July to August

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Atmospheric research 2025年 326卷

作者： Jiazhe Duan Hua Li Na Yang Yong Liu Huixin Li Yang Jiao Botao Zhou State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster Ministry of Education/Key Laboratory of Hydrometeorological Disaster Mechanism and Warning of Ministry of Water Resources/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science & Technology Nanjing 210044 China School of Hydrology and Water Resources Nanjing University of Information Science & Technology Nanjing 210044 China Nansen-Zhu International Research Centre Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China Department of Atmospheric Science School of Environmental Studies China University of Geosciences Wuhan China School of Atmospheric Science Nanjing University of Information Science & Technology Nanjing 210044 China

The East Asian Summer Monsoon (EASM) shape China's summer climate. The transition from July to August marks a critical shift between the Meiyu season and the North/Northeast China rainy season, yet the underlying drivers of the inter-monthly evolution in precipitation during this period remains unclear. This study investigates the relationship between sea surface temperature anomalies (SSTAs) in the northern Indian Ocean (NIO)-South China Sea (NIO-SCS) and the inter-monthly precipitation evolution in eastern China during July–August. A significant interdecadal shift in the relationship between the NIO-SCS SSTAs and eastern China's precipitation around 1995/96. Before 1995, warm NIO-SCS SSTAs consistently enhanced precipitation in the Huaihe-Yangtze River Basin (HYRB) throughout July and August, primarily altered by the Pacific-Japan (PJ) teleconnection pattern. However, after 1996, a distinct pattern emerged: warm NIO-SCS SSTAs increased precipitation over the HYRB and simultaneously reduced precipitation in North/Northeast China in July. In contrast, this pattern is reversed in August. Based on observations and numerical experiments, the interdecadal shift is linked to a weakening of Indian Ocean SSTAs after 1996 compared to before. During the post-1996, cooler Indian Ocean SSTAs in July weaken the Kelvin wave, shifting the PJ pattern westward and broadly influencing precipitation across eastern China. In August, the cooler Indian Ocean SSTAs induce westward-shifted Walker circulation anomalies, with a descending branch near the Philippine Sea extending to 30°N, leading to decreased precipitation in the HYRB and increased precipitation over North/Northeast China. Furthermore, the reduction in NIO-SCS SSTAs' amplitude after 1996 may be attributed to a weakened spring ENSO amplitude, potentially linked to the positive phase of the Atlantic Multidecadal Oscillation.

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Chinese Named Entity Recognition in Power Domain Based on Bi-LSTM-CRF

Chinese Named Entity Recognition in Power Domain Based on Bi...

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作者： Zhenqiang Zhao Zhenyu Chen Jinbo Liu Yunhao Huang Xingyu Gao Fangchun Di Lixin Li Xiaohui Ji School of Information Engineering China University of Geosciences Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology(China Electric Power Research Institute) Big Data Center State Grid Corporation of China Power Dispatching and Control Center State Grid Corporation of China Institute of Microelectronics Chinese Academy of Sciences

Efficient recognition of proprietary entities is an important basic work for text data mining and intelligent application in power *** power domain Named Entity Recognition(NER) methods rely on feature engineering seriously,which unable to learn power entity features *** order to learn entity features automatically and extract power domain named entities efficiently,a model based on Bidirectional Long Short-Term Memory Neural Networks(Bi-LSTM) and Conditional Random Field(CRF) was proposed in this *** representations were fed into the neural networks as an additional feature and Skip-gram embeddings were trained on power domain *** results showed the precision rate reaches higher than 88.25% and the recalling rate reaches higher than 88.04%,which confirm the method based on BiLSTM and CRF is effective for named entity recognition in the power domain.

关键词： Named Entity Recognition Power Domain Bi-LSTM CRF

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Fault location of secondary equipment in smart substation based on switches and deep neural networks

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IOP Conference Series: Earth and Environmental Science 2020年第1期615卷

作者： Xiaoping Liu Yalei Li Wenzhuo Li Fujia Zhang Jinhu Zhang Ang Li Department of Electric Power Automation Research Beijing Key Laboratory of Research and System Evaluation of Dispatching Automation Technology (China Electric Power Research Institute) Beijing Beijing 100192 China College of Information Science and Engineering Northeastern University Shenyang Liaoning Province 110819 China

With the continuous development of smart substations, the functions of switches have been continuously improved. To improve the efficiency of the operation and maintenance of secondary equipment, this article proposes a fault location method for secondary equipment in smart substations based on switches and deep neural networks. First, the key alarm signal capture function and traffic statistics function are configured on the switch. Secondly, based on alarm information, traffic statistics, and message subscription relationships, the representation of the fault feature information method is proposed. Using the training rules of deep learning, the fault location model of secondary equipment based on deep neural network is established and the fault location steps are given. Taking the line spacing of smart substations as an example, simulations verify the effectiveness of the fault location method, and good location results can still be obtained in an environment with insufficient feature information reliability.

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Maintenance Optimization for Combined Heat and Power Unit Based on Opportunistic Maintenance Strategy

Maintenance Optimization for Combined Heat and Power Unit Ba...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Yumin Zhang Xingquan Ji Yixiao Yu Bo Xu Xueshan Han Lin Zhang College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Energy Research Institute Co. Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

Integrated energy system is composed of different multiple energy systems. When the combined heat and power (CHP) unit fails, more than one energy systems can be influenced. Therefore, it is very important to improve the reliability of CHP unit. In this paper, we propose a maintenance decision making model for CHP unit based on opportunistic maintenance strategy. Firstly, the expression of the availability of CHP unit considering opportunistic maintenance is derived. And then, in order to quantify the impact of different maintenance strategies on system operation, system operation risk is given taking electrical load loss and thermal load loss into account. Finally, maintenance decision making model of the CHP unit is established with maintenance constraints. Case studies show that the model can optimize maintenance strategies and improve the reliability of CHP unit and the overall system efficiency.

关键词： Maintenance engineering Cogeneration Reliability Power system reliability Resistance heating Couplings

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Enhancing Adaptive Event-Triggered Protocols for Multi-Agent Consensus with External Disturbances

Enhancing Adaptive Event-Triggered Protocols for Multi-Agent...

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International Conference on Control, automation, Robotics and Vision (ICARCV)

作者： Xianwei Li Yang Tang Bing Zhu Shaoyuan Li Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Seventh Research Division School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (数字)9781728177090

ISBN: (纸本)9781728177106

This paper studies the design of adaptive event-triggered protocols for consensus of linear multi-agent systems (MASs) with external disturbances. Different from most of the existing results that deal with undirected graphs, this paper addresses directed graphs, specifically graphs that are assumed to be strongly connected. Inspired by a recent development [1], this paper devises novel adaptive event-triggered protocols for linear MASs with all agents subject to external disturbances. Two specific designs of composite triggering conditions are analysed and discussed. Compared with the disturbance-free case, additional constraints need to be introduced to deal with external disturbances and moreover the time-dependent terms are allowed to take any finite functions, rather than a class of L1 functions.

关键词： Protocols Eigenvalues and eigenfunctions Laplace equations Directed graphs Symmetric matrices Closed loop systems automation

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Distributionally Multi-level Co-optimization Dispatch Considering Primary and Secondary Frequency Regulation

Distributionally Multi-level Co-optimization Dispatch Consid...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Xingquan Ji Yumin Zhang Pingfeng Ye Xueshan Han Bo Xu Ziyang Yin College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Energy Research Institute Co. Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

Distributed energy resource (DER) including wind power, solar energy and energy storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes the distribution network have interaction. As a bridge connecting the transmission grid (TG) and micro grid (MG), ADN breaks the traditional operation pattern of TG+ADN+MG. Considering the physical connections and shared information among TG, ADN and MG, this paper proposes a decentralized and parallel analytical target cascading (ATC) algorithm for TG+ADN+MG multi-level co-optimization dispatch considering primary and secondary frequency regulation. To explore the synergistic ability of the TG+ADN+MG coping with uncertainties of DER, i.e., wind power, the primary and secondary frequency regulation of TG are implemented to cope with uncertainties. Furthermore, the distributional uncertainties of wind power and load are well modeled by data driven, which is proposed in our previous work [1]. An improved 6-bus system is used to test the proposed model, the numerical results illustrate the effectiveness and efficiency of the proposed method.

关键词： Couplings Uncertainty Power systems Optimization Load modeling Generators Frequency control

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An Efficient Deep Learning Method for Typhoon Track Prediction Based on Spatiotemporal Similarity Feature Mining

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Atmosphere 2025年第5期16卷 565-565页

作者： Lixia, Kaiwen Lu, Mingyue Lu, Yifei Liu, Hui Li, Ping Changwang School of Honors Nanjing University of Information Science and Technology Nanjing210044 China School of Geography Nanjing University of Information Science and Technology Nanjing210044 China Institute of Geographic Sciences and Natural Resources Research University of Chinese Academy of Sciences Beijing100101 China State Key Laboratory of Climate System Prediction and Risk Management Key Laboratory of Meteorological Disaster Ministry of Education Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing210044 China School of Atmospheric Sciences Nanjing University of Information Science and Technology Nanjing210044 China School of Remote Sensing and Geomatics Engineering Nanjing University of Information Science and Technology Nanjing210044 China School of Disaster Prevention and Mitigation Engineering Institute of Disaster Prevention Langfang065201 China Hebei Provincial Key Laboratory of Earthquake Disaster Prevention and Risk Assessment Langfang065201 China

Typhoon is one of the most destructive natural disasters, and it affects human society significantly. To reduce the negative impacts, many deep learning models for predicting future typhoon tracks have appeared. However, most of these models use all of the data they obtain as input, which may cause the diversity of typhoon tracks to have a negative impact on the prediction outcomes. In this paper, a joint method is proposed. The method mainly includes two parts: First, use a spatiotemporal similarity feature mining model to find out paths that are similar to the ongoing typhoon. Second, a deep learning model for processing sequence data is trained by these similar paths and then used for predicting the future track points’ latitude and longitude. The joint method bridges the gap in deep learning models’ ability to process spatial information and the shortcomings of spatiotemporal similarity feature mining models in predicting future data. In the experiment, we use a spatiotemporal similarity feature mining model to generate different input datasets by changing the number of similar paths in it, which can compare the model’s accuracy in different inputs. Also, real typhoon data recorded in the North West Pacific Ocean are used in the experiment. Through a comparison between the real path and prediction results in longitude and latitude, we find that 100–250 similar typhoon tracks as input have the best prediction effect in different tasks and are more accurate in long-term prediction. © 2025 by the authors.

关键词： Deep learning

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A Blockchain-based Framework for Central Bank Digital Currency

A Blockchain-based Framework for Central Bank Digital Curren...

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Han, Xuan Yuan, Yong Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China

ISBN: (纸本)9781728128535

Cryptocurrency and blockchain technologies have developed in parallel in recent years, with technological breakthroughs in currency issuance, payment methods, and currency storage. However, the existing cryptocurrencies cannot replace fiat money. There is a huge gap between decentralized cryptocurrency and central bank digital currency, namely CBDC, in terms of monetary governance and circulation. In this paper, we propose the function and security requirements of CBDC, through a comprehensive analysis of the existing typical cryptocurrency and the prototype of the CBDC scheme. On this basis, we present a blockchain-based framework for CBDC with three layers, including supervisory layer, network layer and user layer, and describe the key business processes of the CBDC's entire lifecycle of issuance-circulation-withdrawal in detail. Finally, we take cross-border payment as an example to explain the transaction process of CBDC. We aim to provide theoretical guidance for CBDC design. © 2019 IEEE.

关键词： Blockchain

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Blockchain-based Social Manufacturing for Customization Production

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IFAC-PapersOnLine 2020年第5期53卷 53-58页

作者： Xiuqin Shang Xi Chen Lulu Niu Gang Xiong Zhen Shen Xisong Dong Zhengchao Shen Chao Liu Bangwen Xi the Research Center of Precision Sensing and Control the state key laboratory for management and control of complex systems & Beijing engineering research center of intelligent systems and technology institute of automation Chinese Academy of Sciences Beijing 100190 China Beijing University of Posts and Telecommunications Beijing 100876 China Alstom Beizhong Power (Beijing) Co. Ltd. Beijing 100040 China the System Integration Electronics (Hangzhou)Co. LTD No. 58 No. 11 Road Foxconn Qiantang Tech-Industrial Area HETZ Hangzhou 310018 China

This paper proposes the social manufacturing based on Blockchain, which realizes precise and efficient customization through smart contract and distributed accounting. It is a new manufacturing mode of service-oriented, distributed and collaborative customization. This paper proposes the definition of SM based on Blockchain. In the process of using to Blockchain, it can form a strong trust relationship, so that multiple nodes / roles in SM can save the complete copy of the whole database, rather than a centralized permission / role. Secondly, the Blockchain-based SM system is developed for customized manufacturing. Finally, its application case and the optimization results are given. In SM, it is the key that how to transform customized manufacturing actions into socialized actions of manufacturing resources through internet communities and interconnect Socialized Manufacturing Resources (SMRs) in upstream and downstream. In this paper, the smart contract relationship is established based on Blockchain between SMRs to build credit mechanism in SM, Which can ensure the effective circulation and association of SMRs.

关键词： Social Manufacturing Blockchain Optimization SM Resources

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The application of power grid equipment plug and play based on wide area SOA 2

The application of power grid equipment plug and play based ...

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2nd IEEE International Conference on Energy Internet, ICEI 2018

作者： Chen, Zhenyu Li, Dapeng Deng, Zhaoyun Gao, Xingyu Di, Fangchun Xie, Qiaoyun State Key Laboratory of Power Grid Security and Energy Saving Beijing China Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology Beijing China China Electric Power Research Institute Beijing China State Grid Fujian Electric Power Company Fuzhou Fujian China Institute of Microelectronics Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781538641316

With the new trend for the rapid development of power grid, the scale of equipment accessed to power grid has grown explosively. The information exchange services which need to provide are also complicated. In the future of large-scale power grid, facing with the properties of high efficiency, real-time and security for the information exchange between the power grid equipment and the system, and the satisfaction of wide-area and local communication requirements for the large power grid coverage, it needs to realize the plug-and-play interaction function between the intelligent electric substation and the main station of dispatch and control. We propose the application of Power Grid Equipment Plug and Play based on Wide Area SOA, according to wide-area service-oriented architecture design for plug and play power grid equipment, which adopts the service proxy mechanism to manage and control the service domain accessed to the wide area network through the domain management center. Consequently, our proposed based on Wide Area SOA, according to wide-area can obtain the power grid applications' service interaction, and improve the main station's capabilities with the service cooperation among its applications. © 2018 IEEE.

关键词： Information services

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