OPTIMAL REGULATION MODEL OF INTEGRATED ENERGY SYSTEM CONTAINING HYDROGEN STORAGE CONSIDERING ELECTROTHERMAL COUPLING, 1-8.
Bibliographic record
Abstract
As an important way to improve energy efficiency, IES plays a key role in promoting sustainable development of energy.In order to optimise the regulation effect of hydrogen storage IES, from the perspective of electrothermal coupling, the optimisation regulation model of hydrogen storage IES was constructed, and its effectiveness was tested.The results show that under this control strategy, the consumption of wind power, photovoltaic power, and hydrogen power generation is maintained in the range of 2,500-3,500 kWh, 1,500-2,500 kWh, and 3,500-4,500 kWh, respectively.Compared with the control strategy without considering the electric heating coupling, the coal consumption per unit time under this method is reduced by 40-80 J.This shows that the regulation method has improved the consumption of clean energy, greatly reduced coal consumption and economic costs, improved the utilisation rate of clean energy, optimised the regulation effect of IES, and is conducive to promoting the development of renewable energy.
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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 | 0.000 |
| 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 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".