MétaCan
Menu
Back to cohort
Record W4409695000 · doi:10.1016/j.jup.2025.101942

Transforming marginal-cost pricing: A blockchain approach to fundamental energy system dynamics

2025· article· en· W4409695000 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueUtilities Policy · 2025
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Energy Management
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsBlockchainSystem dynamicsEconomicsMarginal costDynamics (music)Energy (signal processing)Mathematical economicsMicroeconomicsComputer scienceMathematicsPhysicsComputer securityStatistics

Abstract

fetched live from OpenAlex

Marginal-cost pricing (MCP) is widely employed in modern energy systems . The model was criticised during the 2022 energy crisis in Europe. Alternative market designs aim to overcome MCP limitations amid cheaper renewable energy and electricity costs. This paper identifies counterproposals that overlook MCP's rationale and outlines five fundamental principles for energy systems : demand-supply balancing, efficient resource allocation , reliability and security, transparency and fair competition, and affordability . Finally, it explores blockchain's potential to enable dynamic, decentralised energy markets by improving efficiency, enhancing grid reliability, increasing transparency, reducing manipulation, and providing flexibility for modern energy systems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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