Proposed principles for the evaluation and funding of DSM projects
Bibliographic record
Abstract
The regulatory policy on energy efficiency and demand side management (EEDSM) for South African Electricity Industry was published in the first quarter of 2004. In general, the policy has served its purpose well and given rise to the establishment of a DSM industry in South Africa. Several changes to the electricity industry landscape in South Africa have however prompted a revision of the policy. These changes include: a. Low generation plant reserve margin prompting a requirement for accelerated DSM implementation. Opportunities to streamline the DSM project evaluation, approval and implementation process need to be pursued. b. An energy shortage in addition to a capacity shortage. The current policy places strong emphasis on load shifting projects as opposed to energy efficiency projects. Proposed changes to the regulatory policy should result in more EEDSM solutions being implemented, but more importantly should see a healthier focus on energy efficiency initiatives which offer a greater benefit to the national economy and the environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.171 | 0.147 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.010 | 0.006 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.025 | 0.009 |
| Open science | 0.009 | 0.011 |
| Research integrity | 0.020 | 0.011 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".