most citedA Conditional Model of Wind Power Forecast Errors and Its Application in Scenario Generation

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

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…

eess.SP2018

Discussion of Parameters Setting for A Distributed Probabilistic Modeling Algorithm

Mengshuo Jia, Chen Shen, Zhiwen Wang

This manuscript provides additional case analysis for the parameters setting of the distributed probabilistic modeling algorithm for the aggregated wind power forecast error.

physics.data-an20174 cited

A Conditional Model of Wind Power Forecast Errors and Its Application in Scenario Generation

Zhiwen Wang, Chen Shen, Feng Liu

In power system operation, characterizing the stochastic nature of wind power is an important albeit challenging issue. It is well known that distributions of wind power forecast e…