A Co-simulation Framework for Assessing the Interaction between Heat Pumps and the Low Voltage Grid on a District Scale
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
The traditional unidirectional-flow electricity grid is evolving and integrating active power electronics, controllable loads, and Distributed Energy Resources (DERs). The design and validation of innovative electric networks is challenging and since experimental data is not easily obtained on such large scales, simulation-based approaches are adopted to support their development. The simulation and validation of the grid at a system level requires high resolution models of multiple domains involving the end user, the electric grid, and the interaction between them, and a co-simulation approach is adopted in order to encompass all elements and take advantage of the many specialized tools that address each of them separately. This paper will present a co-simulation framework that uses the Functional Mock-up Interface (FMI) standard in order to combine TRNSYS for the building domain and the Python package PandaPower for the electric grid domain.
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 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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