Integration of Renewable Energy Generation in the Power System of Bosnia and Herzegovina
Bibliographic record
Abstract
The present paper proposes a comprehensive analysis of the Bosnian power system, with a particular focus on the transition towards sustainable energy sources. This study examines a scenario that involves the phase-out of lignite power plants, which are known for their high carbon emissions and environmental impact. In place of lignite, the scenario emphasizes a significant increase in renewable energy generation, specifically hydro, solar, and wind power. The model used for this analysis is developed in Plexos, a sophisticated energy modeling software, and operates with an hourly resolution to capture the nuances of energy production and consumption throughout the day. Key outputs from the model include detailed data on generation capacity, emissions levels, and electricity prices. The findings of the analysis indicate that the proposed scenario not only supports environmental sustainability but also offers economic benefits. The positive cost-benefit ratio suggests that investing in renewable energy infrastructure can lead to long-term savings and reduced reliance on fossil fuels. The paper provides valuable insights for policymakers and stakeholders in the energy sector, highlighting the potential for a greener and more resilient power system.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".