Author details
Wendong Zhu
Affiliation
GEIRI North America
Biography
Wendong Zhu, photograph and biography not available at the time of publication.(Based on document published on 1 February 2017). Author's Published Works
Author details
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Good Consumer or Bad Consumer: Economic Information Revealed from Demand Profiles
Yang Yu;Guangyi Liu;Wendong Zhu;Fei Wang;Bing Shu;Kai Zhang;Ram Rajagopal;Nicolas Astier
2018 IEEE Power & Energy Society General Meeting (PESGM)
Year: 2018 | Conference Paper |
In this paper, we demonstrate that a consumer's marginal system impact is determined only by their demand profile, rather than by their demand level. Demand-profile clustering is identical to clustering consumers according to their marginal impacts on system costs. A profile-based, uniform-rate price is economically efficient as real-time pricing. We develop a criteria system to evaluate the econo...Show More
Estimate the Lost Phasor Measurement Unit Data Using Alternating Direction Multipliers Method
Mang Liao;Di Shi;Zhe Yu;Wendong Zhu;Zhiwei Wang;Yingmeng Xiang
2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
Year: 2018 | Conference Paper |
Cited by: Papers (16)
This paper presents a novel algorithm for recovering missing data of phasor measurement units (PMUs). Due to the low-rank property of PMU data, missing measurement estimation can be formulated as a low-rank matrix-completion problem. Based on maximum-margin matrix factorization, we propose an efficient algorithm based on alternating direction method of multipliers (ADMM) for solving the matrix com...Show More
Good Consumer or Bad Consumer: Economic Information Revealed From Demand Profiles
Yang Yu;Guangyi Liu;Wendong Zhu;Fei Wang;Bin Shu;Kai Zhang;Nicolas Astier;Ram Rajagopal
IEEE Transactions on Smart Grid
Cited by: Papers (18)
In this paper, we demonstrate that a consumer's marginal system impact is determined only by their demand profile, rather than by their demand level. Demand-profile clustering is identical to clustering consumers according to their marginal impacts on system costs. A profile-based, uniform-rate price is economically efficient as real-time pricing. We develop a criteria system to evaluate the econo...Show More
Cluster-Based Best Match Scanning for Large-Scale Missing Data Imputation
Weiqing Yu;Wendong Zhu;Guangyi Liu;Bowen Kan;Ting Zhao;He Liu
2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
High-quality data are the prerequisite for analyzing and using big data to guarantee the value of the data. Missing values in data is a common yet challenging problem in data analytics and data mining, especially in the era of big data. Amount of missing values directly affects the data quality. Therefore, it is critical to properly recover missing values in the dataset. This paper presents a new ...Show More
Smart Meter Data Analytics Based on Modified Streaming k-Means
2017 3rd International Conference on Big Data Computing and Communications (BIGCOM)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
k-Means clustering is one of the central problems in data analysis and remains as one of the most popular data processing algorithms. There are streaming variant of k-Means clustering algorithms to address the continuous and evolving data. Stream Computing allows users to capture and analyze all events and data, all the time and just in time. Streaming models have advantages over batch models due ...Show More
Graph Computation and Its Applications in Smart Grid
Guangyi Liu;Kewen Liu;Di Shi;Wendong Zhu;Zhiwei Wang;Xi Chen
2017 IEEE International Congress on Big Data (BigData Congress)
Year: 2017 | Conference Paper |
Cited by: Papers (22)
Smart grid is an important platform for the exploitation of renewable energy resources and maintaining/improving the reliability of power grid. Challenges have been identified during the construction of smart grid, which calls for novel simulation, computation and data management technologies. For example, as the size of power systems continue to increase, new computational tools are needed to co-...Show More
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