Energy-saving and Emission Reduction Planning on Power Generation Side Based on Fuzzy Feasibility Analysis
Bibliographic record
Abstract
To meet the requirements of energy-saving and emission reduction,a feasibility based inexact optimization model was developed by introducing feasibility based fuzzy program into a traditional interval program frame.It could deal with the complexities between energy activities and environmental systems,and uncertainties in economic,technical,environmental parameters and parameters about energy resources availabilities during energy-saving and emission reduction planning of power generation side.The objective of the model was to minimize the operation system costs,which consisted of costs from energy supply,conversion and consumption,renovations and expansions of conversion technologies,electricity generation and pollutants reduction.Moreover,the model could combine the uncertainties in system parameters expressed as intervals and fuzzy numbers into the optimization process,which would make the planning results more practical.Then the model was applied to a typical electric power system to support energy saving and emission reduction planning of generation side.Desired energy supply,electricity generation,capacity expansion and emission reduction plans with minimized system costs had been generated.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".