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Record W4376467336 · doi:10.4337/9781847204356.00019

Index

2006· paratext· en· W4376467336 on OpenAlexaboutno aff

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2006
Typeparatext
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)MathematicsComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

AC power lines 109, 118 access charges 205, 221 access rights 221 access rules 153, 233, 235, 241, 257-8 'active' TSOs 234, 239 incentives for 239 airline industry 65 Alberta mixing planned and merchant transmission in 119 MW-mile charges in 107 transmission network organization in 148 zero-congestion policy in 91, 102, 119 algorithms 246 alternating current (AC) power lines 109, 118 altitude over sea level 273-3, 274 aluminium-zirconium wires 115 amortization charges 162 ancillary services, cost of provision of 146, 272, 273, 274, 275 Anderson, D. 67 arbitrage 16, 155, 188 areas of influence method 250 Areva 72, 79 Argentina transmission investment in 235 transmission network organization in 148 transmission pricing in 249, 250 association of European Transmission System Operators (ETSO) 187, 264 asymmetry of information 121-4, 151-2, 192, 193, 224 attributes of transmission investments 136-47 auctions 88, 109, 111, 118, 163, 168, 191, 221, 233, 234, 235, 236 Australia energy only market in 39-40 HVDC link with 141, 155 transmission investment in 155 transmission pricing in 249 Australian Competition and Consumer Commission 237 Austria net inter-TSO payment of 267, 271 transmission pricing in 265, 266, 271 average cost of transmission 253-4 average participation (AP) method 11, 263-4, 267, 268, 275, 283-5 Averch, H. 66-7 Index François Lévêque -9781847204356 Downloaded from PubFactory at 07/20/2023 05:42:06PM via free access 'bundled' transmission services, prices for 165-6 Bushnell, J.B. 110, 187, 224, 231 California congestion in 132 generation investment in 57, 58, 62, 65 independent system operators 54 power shortages in 1, 31, 37, 45, 126 capacity charges 204, 205, 214, 217, 222, 269 capacity expansion model 223 capacity factor 75, 79 capacity margins 4, 41-6, 47, 199 capacity obligations 6, 11-12, 166 capacity payments 6, 35-7, 40, 158 capacity reserves 45 capital costs 13-14, 55, 68, 69, 70, 72-80, 81, 120, 161-2, 273 capital intensity 13-14, 55, 66-7, 74, 81 carbon price trading 71, 80 categorization of transmission investments 137-43 CCGT see combined-cycle gas turbine (CCGT) plants CEER (Council of European Energy Regulators) 235, 237, 285 Central Electricity Generating Board (CEGB) 41, 157, 164 Chao, H.-P. 138 Chile, transmission pricing in 249, 250 circulated fluidised bed combustion technology 69 coal-fired plants 219 technological switch to/from 58, 60, 61, 62, 63, 64, 65, 66 factors affecting 67, 68-72, 81 coalitions of network users, investment by 233, 235, 239, 283 incentives for 240-241, 242 combined-cycle gas turbine (CCGT) plants 4, 41-2, 46, 54, 244, 256 factors affecting location of 270-277 technology change to/from 13-14, 54-5, 69, 70, 71-2, 73, 74-5, 79, 80, 81 combined heat and power producers 62, 64 Comitology 189

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.185
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.000
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8150.691

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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueEdward Elgar Publishing eBooksSame topicElectric Power System OptimizationFrench-language works237,207