Innovative solutions to enable flexibility and retail markets in distribution grids: The Platone approach
Bibliographic record
Abstract
The present study describes the characteristics of the European project Platone that proposes an innovative approach to joint data management for both higher levels of observability and exploitation of flexibility of the distribution grids. In the project, a layered platform will fulfil the needs of system operators, aggregators, and end users. A blockchain-based platform is the access layer to generators' and customers' flexibilities able to break traditional access barriers by providing certified measures to all the players. Certified data and signals will be used for an innovative distribution system operator (DSO) platform to locally maintain system integrity fostering confidence in flexibility operations. An upper layer will make data available to market platforms: also in this case it is envisioned the possibility of a blockchain approach to link the local system to the transmission system operator domains and enhance the overall system cost efficiency. Platone puts the grid users at the centre, investigates their needs and expectations and uses the underlying blockchain to unlock the potentials of higher dynamics of response. The platform will be tested in pilots hosted by three larger DSOs in Europe and analysed in cooperation with a large University in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".