MétaCan
Menu
Back to cohort
Record W2169896638 · doi:10.1109/icsmc.2007.4413842

Pattern search optimization applied to convex and non-convex economic dispatch

2007· article· en· W2169896638 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsDalhousie University
Fundersnot available
KeywordsEconomic dispatchMathematical optimizationHeuristicRegular polygonQuadratic equationComputer scienceElectric power systemFunction (biology)Convex functionPoint (geometry)MathematicsPower (physics)

Abstract

fetched live from OpenAlex

Economic dispatch is a classic power system problem. It is formulated with either a non-linear quadratic objective function only or by adding another sinusoidal term to the quadratic function in order to incorporate the valve-point effect. Both formulations are subjected to equality and non-equality constraints. In solving such optimization problem, deterministic and heuristic methods were utilized. Direct search-pattern search is a novel heuristic technique used in solving the economic dispatch problems in this paper. This derivative-free method shows optimistic results in dealing with simple and large power systems. The proposed approach has been been tested on three, six and twenty generation units to validate usage of this heuristic technique in the economic dispatch area. Results are compared with deterministic and other heuristic methods.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.004
GPT teacher head0.196
Teacher spread0.192 · 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

Quick stats

Citations11
Published2007
Admission routes1
Has abstractyes

Explore more

Same topicElectric Power System OptimizationFrench-language works237,207