Optimization models for Beijing's generation expansion planning under uncertainties
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Bibliographic record
Abstract
Generation expansion planning,which plays a vital role in electric power system,has a great influence on the reliability,economics,electricity quality,network structure and development of electric power system in the future.In this study,an uncertainty optimization model for Beijing's generation expansion planning is developed.An interval parameter integrating mixes-integer programming techniques is introduced,which can effectively handle not only the uncertainties expressed as interval numbers,but also the installed power generation capacity-expansion issues.And the application shows that a diversified electricity structure,which is supplied through coal fired electricity and nature gas fired electricity mainly,new energy and reproducible energy etal as a supplement,will be established.It would provide steady and plenteous electricity for the economic and social development of Beijing,and also,for improving our people's lives.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it