Modelling residential house electricity demand profile and analysis of peaksaver program using ANN: case study for Toronto, Canada
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Bibliographic record
Abstract
A technique is proposed and developed to predict the household hourly electricity demand. The developed artificial neural network (ANN) model of residential hourly demand is employed to estimate the potential impacts of load curtailment activation (LCA) on electricity demand on the activation days. Results are separately discussed in two seasons: summer and winter. LCA occurs once per day for no more than four consecutive hours. Electricity demand increases dramatically after peaksaver/LCA is completed on July 6 and August 30 of 2010. Both days show saving if the data are not normalised. Unnormalised load reductions for individual event hours ranged between 0.35 and 0.64 kWh/h or 14% and 24%, respectively.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it