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TOWARD A MULTI-AGENT ARCHITECTURE FOR MARKET ORIENTED PLANNING IN ELECTRICITY SUPPLY INDUSTRY

2007· article· en· W2047965355 on OpenAlex
Edgard Gnansounou, Samuel Pierre, Alejandro Quintero, Junfeng Dong, A. Lahlou

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Power and Energy Systems · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicAuction Theory and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsElectricity marketElectricityAnticipation (artificial intelligence)Industrial organizationLiberalizationInvestment (military)ArchitectureComputer scienceBusinessOperations researchEconomicsMicroeconomicsEngineeringMarket economyArtificial intelligence

Abstract

fetched live from OpenAlex

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 flexible planning activities in decentralized electricity markets. In this model, the concept of synthetic agents is used for modelling in flexible forms multi-functional market players, possible mergers and coalitions in the electricity market.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.053
GPT teacher head0.368
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it