most citedPrivacy-Preserving Distributed Clustering for Electrical Load Profiling

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SY20202 cited

Privacy-preserving Distributed Probabilistic Load Flow

Mengshuo Jia, Yi Wang, Chen Shen +1

Probabilistic load flow (PLF) allows to evaluate uncertainties introduced by renewable energy sources on system operation. Ideally, the PLF calculation is implemented for an entire…

eess.SY20203 cited

Privacy-Preserving Distributed Clustering for Electrical Load Profiling

Mengshuo Jia, Yi Wang, Chen Shen +1

Electrical load profiling supports retailers and distribution network operators in having a better understanding of the consumption behavior of consumers. However, traditional clus…

eess.SP2018

Privacy-Preserving Probabilistic Forecasting for Temporal-spatial Correlated Wind Farms

Mengshuo Jia, Chen Shen, Zhiwen Wang +1

Adopting Secure scalar product and Secure sum techniques, we propose a privacy-preserving method to build the joint and conditional probability distribution functions of multiple w…

eess.SP2018

A Distributed Probabilistic Modeling Algorithm for the Aggregated Power Forecast Error of Multiple Newly Built Wind Farms

Mengshuo Jia, Chen Shen, Zhiwen Wang

The extensive penetration of wind farms (WFs) presents challenges to the operation of distribution networks (DNs). Building a probability distribution of the aggregated wind power…

cs.LG2018

Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error

Mengshuo Jia, Shaowei Huang, Zhiwen Wang +1

Building the conditional probability distribution of wind power forecast errors benefits both wind farms (WFs) and independent system operators (ISOs). Establishing the joint proba…