MétaCan
Menu
Back to cohort
Record W236455485

Performance-Based Regulation of Utilities

2002· article· en· W236455485 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueEnergy law journal · 2002
Typearticle
Languageen
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionIncentiveService (business)DeregulationEconomicsEnergy lawPublic economicsBusinessFinanceLawPolitical scienceEconomyMicroeconomics
DOInot available

Abstract

fetched live from OpenAlex

I. INTRODUCTION Performance-based regulation (PBR) is an alternative to traditional cost of service regulation of energy utilities. In North America, PBR plans have been approved in such diverse jurisdictions as Alberta, California, Florida, Illinois, Maine, and Ontario. The Federal Energy Regulatory Commission (FERC) and Canada's National Energy Board (NEB) use PBR to regulate oil pipelines and some gas lines. The FERC has recently encouraged the use of PBR to regulate electric power transmission. Outside North America, PBR is now the standard form of investor-owned energy utility regulation. PBR is also extensively used in other regulated industries, most notably in telecommunications. Despite the growing importance of PBR, the attention paid to it by economists is uneven. Several economists have addressed the incentive impacts of alternative regulatory systems using mathematical theory. Sophisticated cost research has been submitted as evidence in PBR proceedings. However, there has not to our knowledge been a scholarly and thorough non-technical review of PBR concepts and precedents serving as a reference for practitioners. This paper is intended to fill this gap. While not all-inclusive, we believe this PBR survey is the most authoritative and complete to date. Information is presented on approved plans for energy utilities in North America, Great Britain, and Australia. Analysis of plan design options is tendered reflecting the authors' practical experience. The paper is structured as follows. Section II discusses criteria economists use to select among alternative regulatory regimes. Section III examines cost of service regulation and introduces the PBR alternative. Sections IV through VI explore the main approaches to PBR in greater detail. The approaches examined are rate and revenue caps and benchmark regulation. In each of these sections, the regulatory mechanism is described, precedents are detailed, and the merits of the approach are evaluated. Sections VII and VIII explore two important sets of plan provisions that must be addressed under all of the general approaches. These are benefit sharing and plan termination provisions. Important details of IMAGE FORMULA10 energy PBR plans approved to date are summarized in the Appendix. Citations are provided for specific plans discussed in the text. II. CRITERIA FOR PLAN SELECTION In appraising alternative approaches to rate regulation, it is useful to have clear evaluation criteria. This chapter presents criteria widely used by economists in policy analysis. In later sections, we assess different regulatory systems primarily on the basis of these criteria. A. Efficiency In the view of economists, there are two fundamental criteria for evaluating regulatory systems. One is economic efficiency. A regulatory system is economically efficient to the extent that it generates the maximum possible net economic benefits for society. In appraising the efficiency of a regulatory regime, it is useful to recognize some major dimensions of efficiency. In this study, we separate efficiency into three components. These components are productive efficiency, allocative efficiency, and regulatory cost. 1. Productive Efficiency Utility regulation encourages productive efficiency to the extent that it induces the subject utility to meet the demand for its products at minimum cost. In the short run, some inputs are fixed in the sense that adjustments in the amounts used are quite expensive. Automated meter reading equipment is an example. Introduction of such equipment may save cost over time, but it would not be cost effective to transform the entire metering system in one year. In the short run, productive efficiency depends on meeting demand with a minimum-- cost mix of other, variable inputs. In the long run, all inputs are variable, and the cost-effective use of capital equipment is also a central efficiency concern. …

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 score0.760
Threshold uncertainty score0.342

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 head0.008
GPT teacher head0.156
Teacher spread0.148 · 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