Greenhouse electrification via transactive energy management strategy
Bibliographic record
Abstract
Distributed energy resources have grown significantly in Canada and the world over the past decade, particularly in the agricultural sector. As P2P (peer-to-peer) energy trading plays a fundamental role in renewable energy uptake and system flexibility for the low-carbon energy transition, this paper provides an overview of this approach from a techno-economic standpoint for two greenhouses located in Leamington, Ontario. The real-time site solar irradiation, ambient temperature, and load demand over 8760 h have been utilized to drive the designs. In this investigation, two cases are assessed for pepper greenhouse: Case I: energy purchase from the grid and Case II: energy purchase from excess energy of neighbor which is cucumber-tomato greenhouse. The integration of 50 kW PV/1 kWh battery/35 kW converter achieves the feasibility criteria by recording net present cost (NPC) and cost of energy (COE), which are $29.6k and $0.044/kWh, respectively.
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.
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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".