TOWARD A MULTI-AGENT ARCHITECTURE FOR MARKET ORIENTED PLANNING IN ELECTRICITY SUPPLY INDUSTRY
Why this work is in the frame
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Bibliographic record
Abstract
The liberalization of the electricity supply industry has shifted the analyses and modelling activities from planning to operation. However, project studies and investment appraisal still require medium and long-term anticipation of the electricity market prices. The models traditionally used for making such projections i.e. statistical extrapolation or econometrics fail to capture the future structural changes in the emerging electricity markets. There is a need for a novel framework of modelling that could extend game theoretical assumptions to more complex ones. This paper proposes, in a decision-making perspective, a new multi-agent architecture specifically designed to support ï¬exible planning activities in decentralized electricity markets. In this model, the concept of synthetic agents is used for modelling in ï¬exible forms multi-functional market players, possible mergers and coalitions in the electricity market.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it