Towards Decentralized Power Systems: Market & Regulatory Frameworks for Ontario
Bibliographic record
Abstract
This MRP is about the sustainability transition of Ontario’s electricity system. A sustainability transition is understood as a type of purposive socio-technical transition, which is meant to address some normative goal rather than to exploit commercial opportunity. I use the analytical framework presented by the socio-technical transitions literature and multi-level perspective theory to assess the state of Ontario’s grid modernization as evidenced through primarily documentary evidence, most notably the 2017 Long-Term Energy Plan. I conclude that based on this evidence, Ontario is taking a transformation pathway, which is characterized as being driven from within the established regime that modifies its own trajectory in response to landscape pressures and an under-developed niche. This is represented by Ontario’s preferred approach to enable LDCs as the primary developers of DERs through regulatory changes. I then argue that in light of sustainability objectives that I identify in this paper, Ontario’s approach has some shortfalls, and instead I recommend a reconfiguration pathway that requires the strategic modification of 3 key areas to enable a competitive retail DERs market. The three key areas are: (1) adjustments to the grid architecture to address the operational and functional roles of grid actors; (2) establishment of a market structure known as a platform to enable the participation of distributed resources to compete with traditional resources on a level playing, which can be done either at the bulk or distribution levels; and (3) the regulation of a competitive retail DERs market in Ontario.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".