Search Results for author: Mengshuo Jia

Found 6 papers, 1 papers with code

Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach

1 code implementation2 Sep 2023 Yufan Zhang, Mengshuo Jia, Honglin Wen, Yuexin Bian, Yuanyuan Shi

To bridge the gap, we design a value-oriented point forecasting approach for sequential energy dispatch problems with renewable energy sources.

The Design of By-product Hydrogen Supply Chain Considering Large-scale Storage and Chemical Plants: A Game Theory Perspective

no code implementations6 Nov 2022 Qianni Cao, Boda Li, Mengshuo Jia, Chen Shen

Hydrogen, an essential resource in the decarbonized economy, is commonly produced as a by-product of chemical plants.

Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method

no code implementations28 Feb 2022 Mengshuo Jia, Qianni Cao, Chen Shen, Gabriela Hug

This method is based on a high-precision linear power flow model, whose precision is even further improved in this paper by an original correction approach.

Chance-constrained OPF: A Distributed Method with Confidentiality Preservation

no code implementations28 Feb 2022 Mengshuo Jia, Gabriela Hug, Yifan Su, Chen Shen

Given the increased percentage of wind power in power systems, chance-constrained optimal power flow (CC-OPF) calculation, as a means to take wind power uncertainty into account with a guaranteed security level, is being promoted.

Decision Making

A fault detection scheme for PV panels in large scale PV stations with complex installation conditions

no code implementations19 May 2021 Qianni Cao, Chen Shen, Mengshuo Jia

Then, an orientation independent vector C is developed to eliminate the probability distribution differences of power outputs caused by varying azimuth angles and tilt angles.

Fault Detection

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

no code implementations17 Dec 2018 Mengshuo Jia, Shaowei Huang, Zhiwen Wang, Chen Shen

Establishing the joint probability distribution of wind power and the corresponding forecast data of spatially correlated WFs is the foundation for deriving the conditional probability distribution.

Decision Making Privacy Preserving

Cannot find the paper you are looking for? You can Submit a new open access paper.