Data · dataset · 2026
<p>PSO settings for initial linepack preparation.</p>
Listed in NCL Data
<div><p>Day-ahead operation of regional natural gas transmission networks requires station demand forecasts and their translation into inventory-preparation references.
Description
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.
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An independent archived 18-day hourly dataset reported reconstruction MAPE of 6.7%−8.1% and peak-timing deviations of 1.0–1.5 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 × 10⁶ m³, 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.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0349981.t006 ↗
DOI / persistent id · from data ncl ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from data ncl ac uk
Topics
- From keywords
- Earth & Environmental Science · Infectious diseases · Life Sciences · Medicine & Health
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCL Data | oai:figshare.com:article/34071493 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:320211 | mapping · data ncl ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].local:field:earth-environmental | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| description | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| title | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/title |