A General Operation Model for the Smart Office Testbed Under Consideration of Microgrid Concept
Bibliographic record
Abstract
Abstract An accurate mathematical operation model is the key enabling solution for microgrid operation planning. Nonetheless, the existing models fall short of validating the solutions using only simulation software, which does not reflect a practical condition well. Due to the lack of a practical testbed and benchmark, the solution obtained by the existing models might need to be better validated. Addressing this gap, this work proposed the mathematical model representing the microgrid operation while validated with an implemented testbed smart office at the Faculty of Engineering, NUOL. First, the general operation model is formulated to capture the operation philosophy of the smart office. Subsequently, the proposed model is modified and incorporates the well-known Energy Management System concept with techno-economics under consideration. Finally, the proposed models are implemented and solved in a MATLAB environment while the effectiveness of the models is validated using the extracted practical data from the testbed system.
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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 | 0.001 |
| 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".