On the suitability of plug-in hybrid electric vehicle (PHEV) charging infrastructures based on wind and solar energy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plug-in hybrid electric vehicles (PHEVs) are recently being widely touted as a viable alternative to conventional vehicles due to their environment friendly and energy-wise features. Assuming that moving into the future, a large number of PHEV users will exist, the overall influence of charging the on-board ESS is non-negligible. Instead of charging from grid, renewable energy, such as wind energy and solar energy, is a potential alternative. In this paper, a review of wind energy for PHEV is provided. Also, based on the photovoltaic potential of certain locations in Canada, the sizing of the PV panel, required for charging a PHEV, for operating in an all-electric mode for 40 miles daily, is discussed, as a case study. More importantly, scenario-based case studies based on different vehicle structures are carried out to evaluate the possibilities of reducing the costs. Finally, a comprehensive comparison is carried out to summarize the advantages from different points of view.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it