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Record W4416291530 · doi:10.29173/alr2874

Alberta's Electricity Regime Overhaul: Implications of the Current and Evolving Regulatory Environment for Power Generation

2025· article· W4416291530 on OpenAlexaffvenueabout
Jessica Kennedy, Jackie Gow, Scott Poitras, Brandon Leitch, Vincent Light, Nathan Green

Bibliographic record

VenueAlberta Law Review · 2025
Typearticle
Language
FieldEngineering
TopicElectric Power System Optimization
Canadian institutionsTransAlta (Canada)
Fundersnot available
KeywordsElectricityElectricity marketElectricity generationRenewable energyInvestment (military)Electricity retailingCausationPower marketElectric power industryVariable renewable energy

Abstract

fetched live from OpenAlex

Alberta is implementing its most significant electricity regulatory overhaul since 1996, responding to decarbonization, reliability, affordability, and rapid changes in the generation mix. This article explores the reforms in stringent land use, visual impact, andreclamation requirements for renewables, an overhaul of market design via the Restructured Energy Market, and new transmission planning and cost allocation frameworks. These changes generate investment uncertainty, particularly for renewables and power purchase agreements, but also create opportunities for data centres and storage developers. The transition from zero-congestion to optimal transmission planning, new market power mitigation, and cost causation principles have substantial commercial impacts. Uncertainty is expected to persist until the regulatory framework stabilizes.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.936
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.006
Scholarly communication0.0070.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.237
Teacher spread0.227 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2025
Admission routes3
Has abstractyes

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