Impact study of collaborative implementation models on total cost of ownership of integrated fiber-wireless smart grid communications infrastructures
Bibliographic record
Abstract
The majority of previous studies give good insight in the overall costs of various communications network architectures but most consider only the vertical integration model. However, it is necessary to take a closer look at the possibilities and gains through collaboration. In this work, we develop a flexible, generic yet comprehensive total cost of ownership (TCO) framework, which calculates the overall costs related to the rollout of smart grid communications networks for different scenarios. Further, we present our novel collaborative implementation model for a shared infrastructure for both broadband access and smart grid communications. In addition, buildings currently shift from a product to a service (i.e., renewable power supply). Thus, our idea is that housing companies will collaborate by offering the positive renewable energy to communications network providers. We study the impact of this model on TCO and compare it with tradionnal vertical integration model. The sensitivity analysis for the key cost parameters is conducted. We also analyze the risk related to renewable energy intermittency.
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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 | 0.000 | 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 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".