{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T17:57:11Z","timestamp":1791223031184,"version":"4.1.0"},"reference-count":30,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T00:00:00Z","timestamp":1791158400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Day-ahead operation of regional natural gas transmission networks requires station demand forecasts and their translation into inventory-preparation references. This study evaluated a sequential forecast-to-dispatch workflow for the Chongqing regional gas network. Six forecasting models were assessed under a leakage-controlled 30-day walk-forward protocol. Across nine routine stations, mean station-level MAPE was 8.61% for SARIMAX, 8.95% for XGBoost, and 9.78% for GRU. The corresponding values were 10.93% for LSTM, 11.63% for BPNN, and 11.77% for CNN-BiLSTM-Attention. Station G was assessed separately as a data-quality boundary case; Station K was excluded because only 62 observations were available. An independent archived 18-day hourly dataset reported reconstruction MAPE of 6.7%\u22128.1% and peak-timing deviations of 1.0\u20131.5 h. A retrospective West-pipeline case for 22 April 2023 traced historical station forecasts through weighted aggregation, intermediate rounding, hourly reconstruction, and reduced-order linepack calculation. Its LFFX preparation target and the separate NGXDD and DLFX targets were 1.272, 4.702, and 1.571\u2009\u00d7\u200910\u2076 m\u00b3, respectively. All three targets passed case-specific deterministic inventory checks. The results support station-specific forecast-model selection and an explicit interface between daily prediction and segment-level inventory preparation.<\/jats:p>","DOI":"10.1371\/journal.pone.0349981","type":"journal-article","created":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T17:26:18Z","timestamp":1791221178000},"page":"e0349981","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["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"],"prefix":"10.1371","volume":"21","author":[{"given":"Ying","family":"Liu","sequence":"first","affiliation":[{"name":"PetroChina Southwest Oil & Gasfield Company","place":["Chengdu, China"],"department":["Surface Engineering Design 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