Loading [MathJax]/extensions/MathMenu.js

Bo Peng - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Bo Peng

Publications

2

Citations

1

Publications by Year

20222024

Co-Authors:

Mingming CaiMing GeYaguang KongZhibin LiuYifan Zhao

Show All Co-Authors (7)

Bo Peng

Affiliation

School of Automation

Hangzhou Dianzi University

Hangzhou, China

Publication Topics

Bidirectional Long Short-term Memory,
Bidirectional Model,
Business,
Chinese Internet,
Cloud Computing,
Construction Of Enterprises,
Content Management System,
Convolutional Neural Network,
Development Initiatives,
Development Of Technology,
Domain Name,
Enterprise Network

Biography

Bo Peng received the B.S. degree in automation from Anhui Polytechnic University, Wuhu, China, in 2022. He is currently pursuing the M.S. degree in control engineering with the Automation College, Hangzhou Dianzi University, Hangzhou, China.,His research interests include machine learning and soft sensor modeling.(Based on document published on 8 March 2024).

Publications

2

Citations

1

Publications by Year

20222024

Co-Authors:

Mingming Cai
Ming Ge
Yaguang Kong
Zhibin Liu
Yifan Zhao

Show All Co-Authors (7)

Author's Published Works

Search History

Showing 1-25 of 8,059 resultsfor "Index Terms":Reliability In Sample

Conferences (5,974)

Journals (1,977)

Magazines (50)

Standards (39)

Early Access Articles (19)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Pradeep Lall(28)
Chanan Singh(24)
Yang Liu(19)
Wei Li(19)
Erwin Halim(17)
School of Reliability and Systems Engineering, Beihang University, Beijing, China(49)
Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia(17)
University of Chinese Academy of Sciences, Beijing, China(17)
Department of Electronics, Tampere University of Technology, Tampere, Finland(14)
School of Reliability and System Engineering, Beihang University, Beijing, China(14)
IEEE Transactions on Reliability(268)
IEEE Access(194)
IEEE Transactions on Power Systems(89)
IEEE Transactions on Device and Materials Reliability(64)
IEEE Transactions on Instrumentation and Measurement(54)
IEEE(7,929)
IET(46)
OUP(21)
BIAI(14)
SGEPRI(7)
Media(107)
Datasets(4)
Code(2)
Video(1)
Beijing, China(159)
Chengdu, China(144)
Shanghai, China(127)
Orlando, FL, USA(120)
Las Vegas, NV, USA(95)
Neural Network(529)
Monte Carlo Simulation(506)
Power System(489)
Convolutional Neural Network(486)
System Reliability(450)
Inactive(29)
Active(8)
Superseded(3)
Standard Docs(39)

Select All on Page

Sort By

Results

An Improved Hybrid Method for Power System Reliability Assessment

Liping Qu;Tailu Gao;Jie Zhang;Bin Liu;Wenchao Cui

2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

HTML

In order to improve the sampling efficiency of the non-sequential Monte Carlo simulation method, an improved hybrid method combining the analytical method and the significant Latin hypercube sampling method is proposed based on the idea of state space partitioning. The method partitions the system state space based on the determination of the significant state subspace to avoid sampling the zero-f...Show More

An Improved Hybrid Method for Power System Reliability Assessment

Liping Qu;Tailu Gao;Jie Zhang;Bin Liu;Wenchao Cui

2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

Year: 2022 | Conference Paper |

Hybrid sampling method for structural reliability analysis

Xin-Jia Meng;Li-Xiang Zhang;Zhi-Min Liu;Yue Pan;Shi-Tong Zhu

2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

Year: 2020 | Conference Paper |

Cited by: Papers (3)

HTML

In order to improve the computational efficiency of structural reliability analysis under random and interval uncertainties, a hybrid sampling method is proposed in this paper. The basic idea of the proposed method is to integrate the Bucher experimental design and Latin hypercube sampling (LHS). Firstly, the sampling of random variables and the sampling of interval variables are respectively cond...Show More

Hybrid sampling method for structural reliability analysis

Xin-Jia Meng;Li-Xiang Zhang;Zhi-Min Liu;Yue Pan;Shi-Tong Zhu

2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

Year: 2020 | Conference Paper |

The applicability of static sampling techniques for measuring the application reliability of the communication networks in the simulation environment

Xiaoxi Liu;Ruiying Li;Ning Huang

2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)

Year: 2013 | Conference Paper |

HTML

Simulation and sampling are both important and widely used techniques in the research of networks. Scholars have already developed a variety of packet sampling techniques. However, few of these are focused on network reliability, especially in the simulation situation. In this paper, the necessity of using packet sampling techniques when evaluating network reliability in the simulation environment...Show More

The applicability of static sampling techniques for measuring the application reliability of the communication networks in the simulation environment

Xiaoxi Liu;Ruiying Li;Ning Huang

2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)

Year: 2013 | Conference Paper |

Research on reliability evaluation of power system including improved Monte Carlo and parallel calculation

Na Li;Zhenhua Zhu;Ming Li;Ying Lin;Xiaoliang Wang;Qinglong Liu

2017 2nd International Conference on Power and Renewable Energy (ICPRE)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

HTML

The reliability of power grid is important for power system safety. In order to evaluate the reliability of power system quickly, this paper provides the method which combined improved Monte Carlo simulation and parallel calculation. Firstly, importance sampling method is used to change the distribution function of original sample space. Secondly, Latin hypercube sampling method is used to sample ...Show More

Research on reliability evaluation of power system including improved Monte Carlo and parallel calculation

Na Li;Zhenhua Zhu;Ming Li;Ying Lin;Xiaoliang Wang;Qinglong Liu

2017 2nd International Conference on Power and Renewable Energy (ICPRE)

Year: 2017 | Conference Paper |

Comparison of Simulation Methods for Power System Reliability Indexes and Their Distributions

Panida Jirutitijaroen;Chanan Singh

IEEE Transactions on Power Systems

Year: 2008 | Volume: 23, Issue: 2 | Journal Article |

Cited by: Papers (89)

HTML

In this paper, Latin hypercube sampling (LHS) is investigated in connection with reliability evaluation of a power system. A new sampling technique called discrete Latin hypercube (DLHS) is also proposed. Distributions of reliability indexes resulting from two sampling techniques are presented and analyzed along with those from Monte Carlo (MC) sampling. A comparison among LHS, DLHS and traditiona...Show More

Comparison of Simulation Methods for Power System Reliability Indexes and Their Distributions

Panida Jirutitijaroen;Chanan Singh

IEEE Transactions on Power Systems

Year: 2008 | Volume: 23, Issue: 2 | Journal Article |

Metamodel-Based Directional Importance Sampling for Structural Reliability Analysis

Nan Ye;Zhenzhou Lu;Xiaobo Zhang;Kaixuan Feng

IEEE Transactions on Reliability

Year: 2024 | Volume: 73, Issue: 1 | Journal Article |

Cited by: Papers (2)

HTML

For reliability analysis of complex structures with time-consuming implicit performance functions, the computational cost required by direct sampling methods is usually unaffordable for engineering applications. However, the adaptive metamodel embedded in sampling methods can significantly improve reliability analysis efficiency. Therefore, a new metamodel-based directional importance sampling met...Show More

Metamodel-Based Directional Importance Sampling for Structural Reliability Analysis

Nan Ye;Zhenzhou Lu;Xiaobo Zhang;Kaixuan Feng

IEEE Transactions on Reliability

Year: 2024 | Volume: 73, Issue: 1 | Journal Article |

An system analysis of the reliability method based on sample's weighting — Uniform experimental-stochastic FEM

Zhigang Yang;Huokun Li;Lianghui Li

2010 2nd IEEE International Conference on Information Management and Engineering

Year: 2010 | Conference Paper |

HTML

Based on reliability theory of total Probability, with the concept of sample's weighting coefficient, the minimum sample size can be obtained according to the numerical characteristic values of random variables and the minor sample t-distribution estimation under a certain expected value. And then the design of Uniform Experimental is used to system analysis, which can greatly reduce the number of...Show More

An system analysis of the reliability method based on sample's weighting — Uniform experimental-stochastic FEM

Zhigang Yang;Huokun Li;Lianghui Li

2010 2nd IEEE International Conference on Information Management and Engineering

Year: 2010 | Conference Paper |

A Novel Spatial Sampling Strategy Combining the Kriging Model and Maximin Design for Structural Reliability Analysis

Yiling Gao;Xinxing Wu;Yansen Deng;Jingkui Li

2023 7th International Conference on System Reliability and Safety (ICSRS)

Year: 2023 | Conference Paper |

HTML

The Kriging model has been widely explored in structural reliability analysis. Multiple sampling strategies combining the Kriging model are researched to alleviate the computational burden, especially in finite element analysis. In this paper, a novel sampling strategy is proposed to update the Design of Experiments (DoE) by combining Kriging and Maximin design. Maximin design is an experimental d...Show More

A Novel Spatial Sampling Strategy Combining the Kriging Model and Maximin Design for Structural Reliability Analysis

Yiling Gao;Xinxing Wu;Yansen Deng;Jingkui Li

2023 7th International Conference on System Reliability and Safety (ICSRS)

Year: 2023 | Conference Paper |

Efficient Treatment of Uncertainty in System Reliability Analysis using Importance Measures

Hananeh Aliee;Faramarz Khosravi;Jürgen Teich

2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

HTML

The reliability of today's electronic products suffers from a growing variability of failure and ageing effects. In this paper, we investigate a technique for the efficient derivation of uncertainty distributions of system reliability. We assume that a system is composed of unreliable components whose reliabilities are modeled as probability distributions. Existing Monte Carlo (MC) simulation-base...Show More

Efficient Treatment of Uncertainty in System Reliability Analysis using Importance Measures

Hananeh Aliee;Faramarz Khosravi;Jürgen Teich

2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Year: 2019 | Conference Paper |

Thermal Strength Failure Reliability Analysis of Siding Structure Based on Stratified Sampling

Qian Zhang;Yunwen Feng

2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)

Year: 2022 | Conference Paper |

HTML

As a siding structure widely used in the aerospace field, the vibration analysis is carried out independently without considering the ambient temperature, which can’t be attached to the actual engineering. This paper firstly summarizes a reliability analysis method based on stratified sampling, and then takes the titanium alloy panel structure as the research object, analyzes its structural respon...Show More

Thermal Strength Failure Reliability Analysis of Siding Structure Based on Stratified Sampling

Qian Zhang;Yunwen Feng

2022 Global Reliability and Prognostics and Health Management (PHM-Yantai)

Year: 2022 | Conference Paper |

Accelerated State Evaluation and Latin Hypercube Sequential Sampling for Composite System Reliability Assessment

Zhen Shu;Panida Jirutitijaroen;Armando M. Leite da Silva;Chanan Singh

IEEE Transactions on Power Systems

Year: 2014 | Volume: 29, Issue: 4 | Journal Article |

Cited by: Papers (59)

HTML

This paper proposes improvements in the sequential Monte Carlo (MC) simulation based approaches for reliability evaluation of composite generation and transmission systems. The main idea is to compute a threshold load level to facilitate the process of state evaluation, which is very time-consuming mainly due to optimal power flow computations. Two main sampling techniques namely random sampling (...Show More

Accelerated State Evaluation and Latin Hypercube Sequential Sampling for Composite System Reliability Assessment

Zhen Shu;Panida Jirutitijaroen;Armando M. Leite da Silva;Chanan Singh

IEEE Transactions on Power Systems

Year: 2014 | Volume: 29, Issue: 4 | Journal Article |

Test Design of Small Sample Launch Vehicle Based on Composite Equivalency Bayesian Fusion

Qizi Huangpeng;Xiaojun Duan;Wenwei Huang;Yinhui Zhang

2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)

Year: 2021 | Conference Paper |

HTML

In view of the high development cost of the Long March series of launch vehicle and the difficulty of implementing reliability tests, a small sample reliability sampling method based on composite equivalency Bayesian fusion is proposed. First, in order to avoid large amounts of prior data submerging the field data with small sample, a comprehensive use of physical equivalency credibility and data ...Show More

Test Design of Small Sample Launch Vehicle Based on Composite Equivalency Bayesian Fusion

Qizi Huangpeng;Xiaojun Duan;Wenwei Huang;Yinhui Zhang

2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)

Year: 2021 | Conference Paper |

Application of Improved Latin Hypercube Sampling in Reliability Assessment of Generation and Transmission Systems

Hui Xiao;Jianna Ouyang;Shan Li;Zhidu Huang

2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)

Year: 2023 | Conference Paper |

Cited by: Papers (3)

HTML

An improved Latin hypercube sampling method is proposed to solve the problems of low computational efficiency and the correlation between computational time, amount of computation, and evaluation accuracy in the sequential Monte Carlo simulation for reliability evaluation of generation and transmission systems. The optimal multiplier is used to modify the approximate optimal parameter distribution...Show More

Application of Improved Latin Hypercube Sampling in Reliability Assessment of Generation and Transmission Systems

Hui Xiao;Jianna Ouyang;Shan Li;Zhidu Huang

2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE)

Year: 2023 | Conference Paper |

On Adaptive Sampling-Based Testing for Software Reliability Assessment

Roberto Pietrantuono;Stefano Russo

2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE)

Year: 2016 | Conference Paper |

Cited by: Papers (11)

HTML

Assessing reliability of software programs during validation is a challenging task for engineers. The assessment is not only required to be unbiased, but it needs to provide tight variance (hence, tight confidence interval) with as few test cases as possible. Statistical sampling is a theoretically sound approach for reliability testing, but it is often impractical in its current form, because of ...Show More

On Adaptive Sampling-Based Testing for Software Reliability Assessment

Roberto Pietrantuono;Stefano Russo

2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE)

Year: 2016 | Conference Paper |

RELAI Testing: A Technique to Assess and Improve Software Reliability

Domenico Cotroneo;Roberto Pietrantuono;Stefano Russo

IEEE Transactions on Software Engineering

Year: 2016 | Volume: 42, Issue: 5 | Journal Article |

Cited by: Papers (21)

HTML

Testing software to assess or improve reliability presents several practical challenges. Conventional operational testing is a fundamental strategy that simulates the real usage of the system in order to expose failures with the highest occurrence probability. However, practitioners find it unsuitable for assessing/achieving very high reliability levels; also, they do not see the adoption of a “re...Show More

RELAI Testing: A Technique to Assess and Improve Software Reliability

Domenico Cotroneo;Roberto Pietrantuono;Stefano Russo

IEEE Transactions on Software Engineering

Year: 2016 | Volume: 42, Issue: 5 | Journal Article |

Optimal Reliability Allocation of ±800 kV Ultra HVDC Transmission Systems

Bo Hu;Kaigui Xie;Heng-Ming Tai

IEEE Transactions on Power Delivery

Year: 2018 | Volume: 33, Issue: 3 | Journal Article |

Cited by: Papers (26)

HTML

In this paper, an optimal reliability allocation (ORA) model of ±800 kV ultra-high voltage direct current (HVDC) transmission system is proposed. The model intends to provide the means to determine the availability requirements of components in the bidding process of ±800 kV ultra HVDC transmission projects. In this model, the component availability is optimized based on the prespecified system re...Show More

Optimal Reliability Allocation of ±800 kV Ultra HVDC Transmission Systems

Bo Hu;Kaigui Xie;Heng-Ming Tai

IEEE Transactions on Power Delivery

Year: 2018 | Volume: 33, Issue: 3 | Journal Article |

Combining Cluster Sampling and ACE analysis to improve fault-injection based reliability evaluation of GPU-based systems

Alessandro Vallero;Stefano di Carlo

2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

Year: 2019 | Conference Paper |

Cited by: Papers (1)

HTML

Computing capability demand has grown massively in recent years. Modern GPU chips are designed to deliver extreme performance for graphics and for data-parallel general purpose computing workloads (GPGPU computing) as well. Many GPGPU applications require high reliability, thus reliability evaluation has become a crucial step during their design. State-of-the-art techniques to assess the reliabili...Show More

Combining Cluster Sampling and ACE analysis to improve fault-injection based reliability evaluation of GPU-based systems

Alessandro Vallero;Stefano di Carlo

2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

Year: 2019 | Conference Paper |

Research on safety evaluation method of military software

Sasa Ma;Dongqing Liu;Aihua Xu

2009 8th International Conference on Reliability, Maintainability and Safety

Year: 2009 | Conference Paper |

HTML

It is analyzed that the high reliability demand of ordnance software and the safety evaluation of military software are necessary, and the safety evaluation indicates are confirmed. It is provided that the software safety test and evaluation model utilize the software safety test data getting from the test procedure based on the importance sampling and acceleration testing, to get the evaluation r...Show More

Research on safety evaluation method of military software

Sasa Ma;Dongqing Liu;Aihua Xu

2009 8th International Conference on Reliability, Maintainability and Safety

Year: 2009 | Conference Paper |

Reliability Analysis of Electricity Distribution Networks with Sampling Method; A Case Study of Sistan and Baluchestan Network

Mahmood Reza Sahranavard;Maria Rashki Ghaleno;Maryam Bandei;Samira Sargazi

2023 27th International Electrical Power Distribution Networks Conference (EPDC)

Year: 2023 | Conference Paper |

Cited by: Papers (6)

HTML

Finding the causes of outages and the most suitable solution for reducing them, in an economically optimal way, has always been one of the main challenges for electricity distribution companies. However, due to the variety of climate conditions, diversity in the structure, equipment, and facilities of each distribution network, as well as the difference in preventive and maintenance programs, ther...Show More

Reliability Analysis of Electricity Distribution Networks with Sampling Method; A Case Study of Sistan and Baluchestan Network

Mahmood Reza Sahranavard;Maria Rashki Ghaleno;Maryam Bandei;Samira Sargazi

2023 27th International Electrical Power Distribution Networks Conference (EPDC)

Year: 2023 | Conference Paper |

Reliability evaluation based on modified latin hypercube sampling and minimum load-cutting method

Hailei He;Qinyong Zhou;Tengfei Sun;Haozhong Cheng;Qi Zuo

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

Year: 2015 | Conference Paper |

Cited by: Papers (1)

HTML

As its sampling frequency is independent of the scale of the system, Monte-Carlo simulation is widely applied to reliability evaluation of generation and transmission system, which is a complex large system. However, it takes a relatively long period to obtain a higher accurate reliability index. This paper points out that, the combination of Importance sampling method and Discrete Latin Hypercube...Show More

Reliability evaluation based on modified latin hypercube sampling and minimum load-cutting method

Hailei He;Qinyong Zhou;Tengfei Sun;Haozhong Cheng;Qi Zuo

2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

Year: 2015 | Conference Paper |

Monotone restriction model of large-scale complex product reliability evaluation

Zhiyang Liu;Lu Liu;Min Huang;Mingzhu Chen

2009 8th International Conference on Reliability, Maintainability and Safety

Year: 2009 | Conference Paper |

Cited by: Papers (1)

HTML

The development of large-scale complex product is a long time process, and the trial cost is high. Therefore, the test data of these products usually presents small sample and multiphase characteristic. To reduce the evaluation error caused by small sample of one phase, a constraint condition, which is the products' reliability increases monotonously, was introduced to products reliability evaluat...Show More

Monotone restriction model of large-scale complex product reliability evaluation

Zhiyang Liu;Lu Liu;Min Huang;Mingzhu Chen

2009 8th International Conference on Reliability, Maintainability and Safety

Year: 2009 | Conference Paper |

A Transformer Encoder Model for Power System Reliability Evaluation

Yi Tang;Lian Geng;Tao Wu

2024 3rd Asia Power and Electrical Technology Conference (APET)

Year: 2024 | Conference Paper |

HTML

Traditional power system reliability evaluation processes require time-consuming power flow and optimal power flow calculations tools for contingency state analysis. This paper introduces a transformer encoder model designed to enhance the efficiency of contingency state analysis in power system reliability assessments. Additionally, we propose an adaptive Latin hypercube sampling method to genera...Show More

A Transformer Encoder Model for Power System Reliability Evaluation

Yi Tang;Lian Geng;Tao Wu

2024 3rd Asia Power and Electrical Technology Conference (APET)

Year: 2024 | Conference Paper |

Belief Reliability: A Scientific Exploration of Reliability Engineering

Qingyuan Zhang;Xiaoyang Li;Tianpei Zu;Rui Kang

Journal of Systems Engineering and Electronics

Year: 2024 | Volume: 35, Issue: 3 | Journal Article |

Cited by: Papers (2)

HTML

This paper systematically introduces and reviews a scientific exploration of reliability called the belief reliability. Beginning with the origin of reliability engineering, the problems of present theories for reliability engineering are summarized as a query, a dilemma, and a puzzle. Then, through philosophical reflection, we introduce the theoretical solutions given by belief reliability theory...Show More

Belief Reliability: A Scientific Exploration of Reliability Engineering

Qingyuan Zhang;Xiaoyang Li;Tianpei Zu;Rui Kang

Journal of Systems Engineering and Electronics

Year: 2024 | Volume: 35, Issue: 3 | Journal Article |

Reliability testing technology for computer network applications

Ruiying Li;Ning Huang;Shuo Li;Rui Kang;Shuo Chang

2009 8th International Conference on Reliability, Maintainability and Safety

Year: 2009 | Conference Paper |

Cited by: Papers (3)

HTML

Computer network reliability testing is an important technology for network reliability evaluation. Focused on reliability testing for computer network applications, the testing profile building method, the sample selection method, the failure criterions setting method and the index evaluation method are researched. Finally, the testing process is explained with a testing case.Show More

Reliability testing technology for computer network applications

Ruiying Li;Ning Huang;Shuo Li;Rui Kang;Shuo Chang

2009 8th International Conference on Reliability, Maintainability and Safety

Year: 2009 | Conference Paper |

Reliability evaluation of power system integrated with wind farms based on control variable sampling

Xuanyu Qiu;Yiguo Guo;Feng Lan;Lei Xi

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

HTML

Monte-Carlo sampling method in reliability evaluation has defects of great sampling number and low efficiency. This paper proposed control variable method in power system integrated with wind power unit, considering its feather of small unit capacity and large unit number. The proposed method is carried out on the IEEE RTS79 test system, compares with the conventional Monte-Carlo method and the av...Show More

Reliability evaluation of power system integrated with wind farms based on control variable sampling

Xuanyu Qiu;Yiguo Guo;Feng Lan;Lei Xi

2017 Chinese Automation Congress (CAC)

Year: 2017 | Conference Paper |

Standards Dictionary Terms

AMI
BIL
C&I
CAIDI
CELID-s
CEMI
CEMSMI
CI
CIS
CMI
CPI
DER
GIS
ICE
IVR
ME
MED
NERC
O&M
OMS
ROW
SAIDI
SAIFI
SCADA
SF

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.