A forecast-to-dispatch workflow for day-ahead operation of a regional natural gas transmission network based on station-level load prediction and linepack target setting
Ying Liu, Yong Xiao, Zhiping Tang, Simin Zhong, Chenguang Yong, Yuanyuan Tian · 2026
Read A forecast-to-dispatch workflow for day-ahead operation of a regional natural gas transmission network based on station-level load prediction and linepack target setting by Ying Liu, Yong Xiao, Zhiping Tang, Simin Zhong, Chenguang Yong, Yuanyuan Tian (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0349981.txt.
Description
Ying Liu and six colleagues published this research article in PLOS ONE in 2026. It builds a workflow that runs from forecast to dispatch for a natural gas transmission network covering a whole region, planned a day ahead. Two parts anchor the workflow: station-level load prediction, forecasting gas demand at each station, and linepack target setting, deciding how much gas to store inside the pipes themselves.
Linepack is the network's built-in buffer, so setting its target well lets operators meet demand swings without strain. Joining forecast to dispatch in one workflow turns prediction into daily operating decisions. Gas network operators facing winter peaks are the readers for a day-ahead routine of this kind.
Catalog record
| CREATOR | Ying Liu, Yong Xiao, Zhiping Tang, Simin Zhong, Chenguang Yong, Yuanyuan Tian |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 60650 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |