The Influence of Renewable Energy Sources on the Czech Electricity Transmission System
Bibliographic record
Abstract
This paper provides the first academic economic simulation analysis of the impact of increase in predominantly German wind and solar energy production on the Czech electricity transmission network. To assess the exact impact on the transmission grid, updated state-of-the-art techno-economic model ELMOD is employed. Two scenarios for the year 2025 are evaluated on the basis of two representative weeks. The first scenario is considered as baseline and models currently used production mix. The second scenario focuses on the effect of German Energiewende policy on the transmission networks as expected in 2025. The results confirm that higher feed-in of solar and wind power increases the total transport of electricity between transmission system operator areas as well as the average load of lines and volatility of flows. Also, an increase in number of critical high-load hours is observable. Taking into account only the Czech transmission system, considerable rise both in transported volume and volatility are observed only on border transmission lines, not inside the country. Moreover, our qualitative analysis shows that all these mentioned effects are strenghtened by the presence of German-Austrian bidding zone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".