New England's Installed Electric Generation Forecast 2013-2025
Bibliographic record
Abstract
The aim of this Master’s Project, as identified by our client the C Three Group, LLC, was to forecast installed electric capacity in the ISO New England region through the year 2025 under different scenarios including varying natural gas prices and RPS programs. ISO New England is the Independent System Operator of New England and oversees electric generation and transmission in the New England States. Our team built a basic supply model and, using linear optimization, we estimated ways for the ISO New England region to expand its supply to meet the growth in forecast demand. We ran our model under different scenarios, including varying natural gas prices and RPS programs. We took into account announced changes to capacity as well as possible scenarios that may affect further changes in the makeup of capacity. The final results showed continued expansion of natural gas and wind generation, the low-cost leaders, as well as new development of demand response. As we varied the future prices of natural gas, more electricity began to be imported from Canada. We believe that future carbon prices and stricter RPS standards may further ratchet up imports and renewables, in place of
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".