Incentives for the reuse of electric vehicle batteries for load-shifting in residences
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
With growing uncertainty in electricity prices and rising concern about climate change, there is increased need to reduce both energy costs and carbon emissions. One way to accomplish these goals is through load-shifting provided by the reuse of the large lithium ion batteries currently found in most electric vehicles (EVs). When used as a load-shifting device, a used EV battery has the potential to help a residential user reduce the cost of their electric bill and contribute to a reduction in emissions while also laying groundwork for the future 'smart grid'. To study this, a MatLAB model is developed and implemented to examine the use of an EV battery that is reused for peak shifting in a typical household. The results of the simulation for number of different incentive types are compared using a multi-criteria decision making approach to arrive at a policy choice that satisfies both government and consumer stakeholders.
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 | 0.001 | 0.001 |
| 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 | 0.001 | 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